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    "# Vector libraries\n",
    "\n",
    "This page lists Python GIS libraries related to working with **vector data**, categorized into core (data structures), data processing, analysis and visualization. If you see any missing Python tools, please open a PR (see [instructions](contributing.html)). Tools are sorted alphabetically in each category. The [linkages](#linkages) section shows how the tools are connected to the broader Python ecosystem.\n",
    "\n",
    "Tables below list relevant information about the libraries, including:\n",
    " - links to the *Homepage* of the package (redirects after clicking the House character)\n",
    " - short *Info* (description) of the package: You can see the desciprtion by holding your mouse on top of the ⓘ character for a second \n",
    " - License\n",
    " - Latest PyPi and conda-forge version of the package\n",
    " - Number of downloads from PyPi or conda-forge\n",
    " - Latest release date "
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   "source": [
    "## Libraries"
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       "#T_e44b1_row0_col1, #T_e44b1_row1_col1, #T_e44b1_row2_col1, #T_e44b1_row3_col1, #T_e44b1_row4_col1, #T_e44b1_row5_col1, #T_e44b1_row6_col1, #T_e44b1_row7_col1, #T_e44b1_row8_col1, #T_e44b1_row9_col1, #T_e44b1_row10_col1, #T_e44b1_row11_col1, #T_e44b1_row12_col1, #T_e44b1_row13_col1, #T_e44b1_row14_col1, #T_e44b1_row15_col1, #T_e44b1_row16_col1, #T_e44b1_row17_col1, #T_e44b1_row18_col1, #T_e44b1_row19_col1, #T_e44b1_row20_col1, #T_e44b1_row21_col1, #T_e44b1_row22_col1, #T_e44b1_row23_col1, #T_e44b1_row24_col1, #T_e44b1_row25_col1, #T_e44b1_row26_col1, #T_e44b1_row27_col1, #T_e44b1_row28_col1 {\n",
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       "  <caption><strong>Analysis / modelling</strong></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_e44b1_level0_col0\" class=\"col_heading level0 col0\" >Name</th>\n",
       "      <th id=\"T_e44b1_level0_col1\" class=\"col_heading level0 col1\" >Homepage</th>\n",
       "      <th id=\"T_e44b1_level0_col2\" class=\"col_heading level0 col2\" >Info</th>\n",
       "      <th id=\"T_e44b1_level0_col3\" class=\"col_heading level0 col3\" >License</th>\n",
       "      <th id=\"T_e44b1_level0_col4\" class=\"col_heading level0 col4\" >PyPi version</th>\n",
       "      <th id=\"T_e44b1_level0_col5\" class=\"col_heading level0 col5\" >PyPi downloads (monthly)</th>\n",
       "      <th id=\"T_e44b1_level0_col6\" class=\"col_heading level0 col6\" >Conda-forge version</th>\n",
       "      <th id=\"T_e44b1_level0_col7\" class=\"col_heading level0 col7\" >Conda-forge downloads</th>\n",
       "      <th id=\"T_e44b1_level0_col8\" class=\"col_heading level0 col8\" >Conda-forge latest release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row0_col0\" class=\"data row0 col0\" ><strong>access</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col1\" class=\"data row0 col1\" ><a href=\"https://access.readthedocs.io/en/latest/\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col2\" class=\"data row0 col2\" ><span title=\"Calculate spatial accessibility metrics.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col3\" class=\"data row0 col3\" ><a href=\"https://anaconda.org/conda-forge/access/\"><img src=\"https://anaconda.org/conda-forge/access/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col4\" class=\"data row0 col4\" ><a href=\"https://pypi.org/project/access/\"><img src=\"https://badge.fury.io/py/access.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col5\" class=\"data row0 col5\" >26,600<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col6\" class=\"data row0 col6\" ><a href=\"https://anaconda.org/conda-forge/access/\"><img src=\"https://anaconda.org/conda-forge/access/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col7\" class=\"data row0 col7\" ><a href=\"https://anaconda.org/conda-forge/access/\"><img src=\"https://anaconda.org/conda-forge/access/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row0_col8\" class=\"data row0 col8\" ><a href=\"https://anaconda.org/conda-forge/access/\"><img src=\"https://anaconda.org/conda-forge/access/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row1_col0\" class=\"data row1 col0\" ><strong>esda</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col1\" class=\"data row1 col1\" ><a href=\"https://github.com/pysal/esda\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col2\" class=\"data row1 col2\" ><span title=\"Exploratory Spatial Data Analysis.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col3\" class=\"data row1 col3\" ><a href=\"https://anaconda.org/conda-forge/esda/\"><img src=\"https://anaconda.org/conda-forge/esda/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col4\" class=\"data row1 col4\" ><a href=\"https://pypi.org/project/esda/\"><img src=\"https://badge.fury.io/py/esda.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col5\" class=\"data row1 col5\" >43,532<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col6\" class=\"data row1 col6\" ><a href=\"https://anaconda.org/conda-forge/esda/\"><img src=\"https://anaconda.org/conda-forge/esda/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col7\" class=\"data row1 col7\" ><a href=\"https://anaconda.org/conda-forge/esda/\"><img src=\"https://anaconda.org/conda-forge/esda/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row1_col8\" class=\"data row1 col8\" ><a href=\"https://anaconda.org/conda-forge/esda/\"><img src=\"https://anaconda.org/conda-forge/esda/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row2_col0\" class=\"data row2 col0\" ><strong>geosnap</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col1\" class=\"data row2 col1\" ><a href=\"https://spatialucr.github.io/geosnap-guide\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col2\" class=\"data row2 col2\" ><span title=\"Geospatial Neighborhood Analysis Package\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col3\" class=\"data row2 col3\" ><a href=\"https://anaconda.org/conda-forge/geosnap/\"><img src=\"https://anaconda.org/conda-forge/geosnap/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col4\" class=\"data row2 col4\" ><a href=\"https://pypi.org/project/geosnap/\"><img src=\"https://badge.fury.io/py/geosnap.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col5\" class=\"data row2 col5\" >162<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col6\" class=\"data row2 col6\" ><a href=\"https://anaconda.org/conda-forge/geosnap/\"><img src=\"https://anaconda.org/conda-forge/geosnap/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col7\" class=\"data row2 col7\" ><a href=\"https://anaconda.org/conda-forge/geosnap/\"><img src=\"https://anaconda.org/conda-forge/geosnap/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row2_col8\" class=\"data row2 col8\" ><a href=\"https://anaconda.org/conda-forge/geosnap/\"><img src=\"https://anaconda.org/conda-forge/geosnap/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row3_col0\" class=\"data row3 col0\" ><strong>giddy</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col1\" class=\"data row3 col1\" ><a href=\"https://github.com/pysal/giddy\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col2\" class=\"data row3 col2\" ><span title=\"GIDDY: GeospatIal Distribution DYnamics\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col3\" class=\"data row3 col3\" ><a href=\"https://anaconda.org/conda-forge/giddy/\"><img src=\"https://anaconda.org/conda-forge/giddy/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col4\" class=\"data row3 col4\" ><a href=\"https://pypi.org/project/giddy/\"><img src=\"https://badge.fury.io/py/giddy.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col5\" class=\"data row3 col5\" >23,704<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col6\" class=\"data row3 col6\" ><a href=\"https://anaconda.org/conda-forge/giddy/\"><img src=\"https://anaconda.org/conda-forge/giddy/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col7\" class=\"data row3 col7\" ><a href=\"https://anaconda.org/conda-forge/giddy/\"><img src=\"https://anaconda.org/conda-forge/giddy/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row3_col8\" class=\"data row3 col8\" ><a href=\"https://anaconda.org/conda-forge/giddy/\"><img src=\"https://anaconda.org/conda-forge/giddy/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row4_col0\" class=\"data row4 col0\" ><strong>inequality</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col1\" class=\"data row4 col1\" ><a href=\"http://pysal.org\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col2\" class=\"data row4 col2\" ><span title=\"Spatial inequality analysis for PySAL A library of spatial analysis functions.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col3\" class=\"data row4 col3\" ><a href=\"https://anaconda.org/conda-forge/inequality/\"><img src=\"https://anaconda.org/conda-forge/inequality/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col4\" class=\"data row4 col4\" ><a href=\"https://pypi.org/project/inequality/\"><img src=\"https://badge.fury.io/py/inequality.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col5\" class=\"data row4 col5\" >23,266<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col6\" class=\"data row4 col6\" ><a href=\"https://anaconda.org/conda-forge/inequality/\"><img src=\"https://anaconda.org/conda-forge/inequality/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col7\" class=\"data row4 col7\" ><a href=\"https://anaconda.org/conda-forge/inequality/\"><img src=\"https://anaconda.org/conda-forge/inequality/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row4_col8\" class=\"data row4 col8\" ><a href=\"https://anaconda.org/conda-forge/inequality/\"><img src=\"https://anaconda.org/conda-forge/inequality/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row5_col0\" class=\"data row5 col0\" ><strong>mesa</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col1\" class=\"data row5 col1\" ><a href=\"https://github.com/projectmesa/mesa\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col2\" class=\"data row5 col2\" ><span title=\"Agent-based modeling (ABM) in Python 3+\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col3\" class=\"data row5 col3\" ><a href=\"https://anaconda.org/conda-forge/mesa/\"><img src=\"https://anaconda.org/conda-forge/mesa/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col4\" class=\"data row5 col4\" ><a href=\"https://pypi.org/project/mesa/\"><img src=\"https://badge.fury.io/py/mesa.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col5\" class=\"data row5 col5\" >3,303<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col6\" class=\"data row5 col6\" ><a href=\"https://anaconda.org/conda-forge/mesa/\"><img src=\"https://anaconda.org/conda-forge/mesa/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col7\" class=\"data row5 col7\" ><a href=\"https://anaconda.org/conda-forge/mesa/\"><img src=\"https://anaconda.org/conda-forge/mesa/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row5_col8\" class=\"data row5 col8\" ><a href=\"https://anaconda.org/conda-forge/mesa/\"><img src=\"https://anaconda.org/conda-forge/mesa/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row6_col0\" class=\"data row6 col0\" ><strong>mesa-geo</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col1\" class=\"data row6 col1\" ><a href=\"https://github.com/corvince/mesa-geo\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col2\" class=\"data row6 col2\" ><span title=\"Agent-based modeling (ABM) in Python 3+\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col3\" class=\"data row6 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col4\" class=\"data row6 col4\" ><a href=\"https://pypi.org/project/mesa-geo/\"><img src=\"https://badge.fury.io/py/mesa-geo.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col5\" class=\"data row6 col5\" >599<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col6\" class=\"data row6 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col7\" class=\"data row6 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row6_col8\" class=\"data row6 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row7_col0\" class=\"data row7 col0\" ><strong>mgwr</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col1\" class=\"data row7 col1\" ><a href=\"https://github.com/pysal/mgwr\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col2\" class=\"data row7 col2\" ><span title=\"multiscale geographically weighted regression\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col3\" class=\"data row7 col3\" ><a href=\"https://anaconda.org/conda-forge/mgwr/\"><img src=\"https://anaconda.org/conda-forge/mgwr/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col4\" class=\"data row7 col4\" ><a href=\"https://pypi.org/project/mgwr/\"><img src=\"https://badge.fury.io/py/mgwr.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col5\" class=\"data row7 col5\" >24,323<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col6\" class=\"data row7 col6\" ><a href=\"https://anaconda.org/conda-forge/mgwr/\"><img src=\"https://anaconda.org/conda-forge/mgwr/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col7\" class=\"data row7 col7\" ><a href=\"https://anaconda.org/conda-forge/mgwr/\"><img src=\"https://anaconda.org/conda-forge/mgwr/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row7_col8\" class=\"data row7 col8\" ><a href=\"https://anaconda.org/conda-forge/mgwr/\"><img src=\"https://anaconda.org/conda-forge/mgwr/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row8_col0\" class=\"data row8 col0\" ><strong>momepy</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col1\" class=\"data row8 col1\" ><a href=\"http://momepy.org\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col2\" class=\"data row8 col2\" ><span title=\"Urban Morphology Measuring Toolkit\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col3\" class=\"data row8 col3\" ><a href=\"https://anaconda.org/conda-forge/momepy/\"><img src=\"https://anaconda.org/conda-forge/momepy/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col4\" class=\"data row8 col4\" ><a href=\"https://pypi.org/project/momepy/\"><img src=\"https://badge.fury.io/py/momepy.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col5\" class=\"data row8 col5\" >28,009<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col6\" class=\"data row8 col6\" ><a href=\"https://anaconda.org/conda-forge/momepy/\"><img src=\"https://anaconda.org/conda-forge/momepy/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col7\" class=\"data row8 col7\" ><a href=\"https://anaconda.org/conda-forge/momepy/\"><img src=\"https://anaconda.org/conda-forge/momepy/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row8_col8\" class=\"data row8 col8\" ><a href=\"https://anaconda.org/conda-forge/momepy/\"><img src=\"https://anaconda.org/conda-forge/momepy/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row9_col0\" class=\"data row9 col0\" ><strong>movingpandas</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col1\" class=\"data row9 col1\" ><a href=\"https://github.com/anitagraser/movingpandas\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col2\" class=\"data row9 col2\" ><span title=\"MovingPandas implements Trajectory classes and corresponding methods for the analysis of movement data based on GeoPandas. Visit movingpandas.org for details.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col3\" class=\"data row9 col3\" ><a href=\"https://anaconda.org/conda-forge/movingpandas/\"><img src=\"https://anaconda.org/conda-forge/movingpandas/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col4\" class=\"data row9 col4\" ><a href=\"https://pypi.org/project/movingpandas/\"><img src=\"https://badge.fury.io/py/movingpandas.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col5\" class=\"data row9 col5\" >2,904<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col6\" class=\"data row9 col6\" ><a href=\"https://anaconda.org/conda-forge/movingpandas/\"><img src=\"https://anaconda.org/conda-forge/movingpandas/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col7\" class=\"data row9 col7\" ><a href=\"https://anaconda.org/conda-forge/movingpandas/\"><img src=\"https://anaconda.org/conda-forge/movingpandas/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row9_col8\" class=\"data row9 col8\" ><a href=\"https://anaconda.org/conda-forge/movingpandas/\"><img src=\"https://anaconda.org/conda-forge/movingpandas/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row10_col0\" class=\"data row10 col0\" ><strong>pandana</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col1\" class=\"data row10 col1\" ><a href=\"https://udst.github.io/pandana/\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col2\" class=\"data row10 col2\" ><span title=\"Python library for network analysis\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col3\" class=\"data row10 col3\" ><a href=\"https://anaconda.org/conda-forge/pandana/\"><img src=\"https://anaconda.org/conda-forge/pandana/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col4\" class=\"data row10 col4\" ><a href=\"https://pypi.org/project/pandana/\"><img src=\"https://badge.fury.io/py/pandana.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col5\" class=\"data row10 col5\" >1,643<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col6\" class=\"data row10 col6\" ><a href=\"https://anaconda.org/conda-forge/pandana/\"><img src=\"https://anaconda.org/conda-forge/pandana/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col7\" class=\"data row10 col7\" ><a href=\"https://anaconda.org/conda-forge/pandana/\"><img src=\"https://anaconda.org/conda-forge/pandana/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row10_col8\" class=\"data row10 col8\" ><a href=\"https://anaconda.org/conda-forge/pandana/\"><img src=\"https://anaconda.org/conda-forge/pandana/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row11_col0\" class=\"data row11 col0\" ><strong>pointpats</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col1\" class=\"data row11 col1\" ><a href=\"https://github.com/pysal/pointpats\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col2\" class=\"data row11 col2\" ><span title=\"Methods and Functions for planar point pattern analysis\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col3\" class=\"data row11 col3\" ><a href=\"https://anaconda.org/conda-forge/pointpats/\"><img src=\"https://anaconda.org/conda-forge/pointpats/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col4\" class=\"data row11 col4\" ><a href=\"https://pypi.org/project/pointpats/\"><img src=\"https://badge.fury.io/py/pointpats.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col5\" class=\"data row11 col5\" >23,870<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col6\" class=\"data row11 col6\" ><a href=\"https://anaconda.org/conda-forge/pointpats/\"><img src=\"https://anaconda.org/conda-forge/pointpats/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col7\" class=\"data row11 col7\" ><a href=\"https://anaconda.org/conda-forge/pointpats/\"><img src=\"https://anaconda.org/conda-forge/pointpats/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row11_col8\" class=\"data row11 col8\" ><a href=\"https://anaconda.org/conda-forge/pointpats/\"><img src=\"https://anaconda.org/conda-forge/pointpats/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row12_col0\" class=\"data row12 col0\" ><strong>pyinterpolate</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col1\" class=\"data row12 col1\" ><a href=\"https://github.com/szymon-datalions/pyinterpolate\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col2\" class=\"data row12 col2\" ><span title=\"Spatial interpolation Python module\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col3\" class=\"data row12 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col4\" class=\"data row12 col4\" ><a href=\"https://pypi.org/project/pyinterpolate/\"><img src=\"https://badge.fury.io/py/pyinterpolate.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col5\" class=\"data row12 col5\" >117<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col6\" class=\"data row12 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col7\" class=\"data row12 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row12_col8\" class=\"data row12 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row13_col0\" class=\"data row13 col0\" ><strong>pysal</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col1\" class=\"data row13 col1\" ><a href=\"http://pysal.org\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col2\" class=\"data row13 col2\" ><span title=\"A library of spatial analysis functions.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col3\" class=\"data row13 col3\" ><a href=\"https://anaconda.org/conda-forge/pysal/\"><img src=\"https://anaconda.org/conda-forge/pysal/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col4\" class=\"data row13 col4\" ><a href=\"https://pypi.org/project/pysal/\"><img src=\"https://badge.fury.io/py/pysal.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col5\" class=\"data row13 col5\" >27,846<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col6\" class=\"data row13 col6\" ><a href=\"https://anaconda.org/conda-forge/pysal/\"><img src=\"https://anaconda.org/conda-forge/pysal/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col7\" class=\"data row13 col7\" ><a href=\"https://anaconda.org/conda-forge/pysal/\"><img src=\"https://anaconda.org/conda-forge/pysal/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row13_col8\" class=\"data row13 col8\" ><a href=\"https://anaconda.org/conda-forge/pysal/\"><img src=\"https://anaconda.org/conda-forge/pysal/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row14_col0\" class=\"data row14 col0\" ><strong>r5py</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col1\" class=\"data row14 col1\" ><a href=\"https://github.com/r5py/r5py\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col2\" class=\"data row14 col2\" ><span title=\"Python wrapper for the R5 routing analysis engine\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col3\" class=\"data row14 col3\" ><a href=\"https://anaconda.org/conda-forge/r5py/\"><img src=\"https://anaconda.org/conda-forge/r5py/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col4\" class=\"data row14 col4\" ><a href=\"https://pypi.org/project/r5py/\"><img src=\"https://badge.fury.io/py/r5py.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col5\" class=\"data row14 col5\" >22<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col6\" class=\"data row14 col6\" ><a href=\"https://anaconda.org/conda-forge/r5py/\"><img src=\"https://anaconda.org/conda-forge/r5py/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col7\" class=\"data row14 col7\" ><a href=\"https://anaconda.org/conda-forge/r5py/\"><img src=\"https://anaconda.org/conda-forge/r5py/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row14_col8\" class=\"data row14 col8\" ><a href=\"https://anaconda.org/conda-forge/r5py/\"><img src=\"https://anaconda.org/conda-forge/r5py/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row15_col0\" class=\"data row15 col0\" ><strong>scikit-mobility</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col1\" class=\"data row15 col1\" ><a href=\"None\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col2\" class=\"data row15 col2\" ><span title=\"A toolbox for analyzing and processing mobility data.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col3\" class=\"data row15 col3\" ><a href=\"https://anaconda.org/conda-forge/scikit-mobility/\"><img src=\"https://anaconda.org/conda-forge/scikit-mobility/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col4\" class=\"data row15 col4\" ><a href=\"https://pypi.org/project/scikit-mobility/\"><img src=\"https://badge.fury.io/py/scikit-mobility.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col5\" class=\"data row15 col5\" >7,724<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col6\" class=\"data row15 col6\" ><a href=\"https://anaconda.org/conda-forge/scikit-mobility/\"><img src=\"https://anaconda.org/conda-forge/scikit-mobility/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col7\" class=\"data row15 col7\" ><a href=\"https://anaconda.org/conda-forge/scikit-mobility/\"><img src=\"https://anaconda.org/conda-forge/scikit-mobility/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row15_col8\" class=\"data row15 col8\" ><a href=\"https://anaconda.org/conda-forge/scikit-mobility/\"><img src=\"https://anaconda.org/conda-forge/scikit-mobility/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row16_col0\" class=\"data row16 col0\" ><strong>segregation</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col1\" class=\"data row16 col1\" ><a href=\"https://pysal.org/segregation\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col2\" class=\"data row16 col2\" ><span title=\"Analytics for spatial and non-spatial segregation in Python.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col3\" class=\"data row16 col3\" ><a href=\"https://anaconda.org/conda-forge/segregation/\"><img src=\"https://anaconda.org/conda-forge/segregation/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col4\" class=\"data row16 col4\" ><a href=\"https://pypi.org/project/segregation/\"><img src=\"https://badge.fury.io/py/segregation.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col5\" class=\"data row16 col5\" >24,599<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col6\" class=\"data row16 col6\" ><a href=\"https://anaconda.org/conda-forge/segregation/\"><img src=\"https://anaconda.org/conda-forge/segregation/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col7\" class=\"data row16 col7\" ><a href=\"https://anaconda.org/conda-forge/segregation/\"><img src=\"https://anaconda.org/conda-forge/segregation/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row16_col8\" class=\"data row16 col8\" ><a href=\"https://anaconda.org/conda-forge/segregation/\"><img src=\"https://anaconda.org/conda-forge/segregation/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row17_col0\" class=\"data row17 col0\" ><strong>spaghetti</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col1\" class=\"data row17 col1\" ><a href=\"https://github.com/pysal/spaghetti\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col2\" class=\"data row17 col2\" ><span title=\"Analysis of Network-constrained Spatial Data\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col3\" class=\"data row17 col3\" ><a href=\"https://anaconda.org/conda-forge/spaghetti/\"><img src=\"https://anaconda.org/conda-forge/spaghetti/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col4\" class=\"data row17 col4\" ><a href=\"https://pypi.org/project/spaghetti/\"><img src=\"https://badge.fury.io/py/spaghetti.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col5\" class=\"data row17 col5\" >23,282<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col6\" class=\"data row17 col6\" ><a href=\"https://anaconda.org/conda-forge/spaghetti/\"><img src=\"https://anaconda.org/conda-forge/spaghetti/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col7\" class=\"data row17 col7\" ><a href=\"https://anaconda.org/conda-forge/spaghetti/\"><img src=\"https://anaconda.org/conda-forge/spaghetti/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row17_col8\" class=\"data row17 col8\" ><a href=\"https://anaconda.org/conda-forge/spaghetti/\"><img src=\"https://anaconda.org/conda-forge/spaghetti/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row18_col0\" class=\"data row18 col0\" ><strong>spglm</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col1\" class=\"data row18 col1\" ><a href=\"https://github.com/pysal/spglm\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col2\" class=\"data row18 col2\" ><span title=\"sparse generalized linear models\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col3\" class=\"data row18 col3\" ><a href=\"https://anaconda.org/conda-forge/spglm/\"><img src=\"https://anaconda.org/conda-forge/spglm/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col4\" class=\"data row18 col4\" ><a href=\"https://pypi.org/project/spglm/\"><img src=\"https://badge.fury.io/py/spglm.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col5\" class=\"data row18 col5\" >24,219<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col6\" class=\"data row18 col6\" ><a href=\"https://anaconda.org/conda-forge/spglm/\"><img src=\"https://anaconda.org/conda-forge/spglm/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col7\" class=\"data row18 col7\" ><a href=\"https://anaconda.org/conda-forge/spglm/\"><img src=\"https://anaconda.org/conda-forge/spglm/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row18_col8\" class=\"data row18 col8\" ><a href=\"https://anaconda.org/conda-forge/spglm/\"><img src=\"https://anaconda.org/conda-forge/spglm/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row19_col0\" class=\"data row19 col0\" ><strong>spint</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col1\" class=\"data row19 col1\" ><a href=\"https://github.com/pysal/spint\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col2\" class=\"data row19 col2\" ><span title=\"SPatial INTeraction models\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col3\" class=\"data row19 col3\" ><a href=\"https://anaconda.org/conda-forge/spint/\"><img src=\"https://anaconda.org/conda-forge/spint/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col4\" class=\"data row19 col4\" ><a href=\"https://pypi.org/project/spint/\"><img src=\"https://badge.fury.io/py/spint.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col5\" class=\"data row19 col5\" >23,187<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col6\" class=\"data row19 col6\" ><a href=\"https://anaconda.org/conda-forge/spint/\"><img src=\"https://anaconda.org/conda-forge/spint/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col7\" class=\"data row19 col7\" ><a href=\"https://anaconda.org/conda-forge/spint/\"><img src=\"https://anaconda.org/conda-forge/spint/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row19_col8\" class=\"data row19 col8\" ><a href=\"https://anaconda.org/conda-forge/spint/\"><img src=\"https://anaconda.org/conda-forge/spint/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row20_col0\" class=\"data row20 col0\" ><strong>splot</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col1\" class=\"data row20 col1\" ><a href=\"https://github.com/pysal/splot\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col2\" class=\"data row20 col2\" ><span title=\"Visual analytics for spatial analysis with PySAL.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col3\" class=\"data row20 col3\" ><a href=\"https://anaconda.org/conda-forge/splot/\"><img src=\"https://anaconda.org/conda-forge/splot/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col4\" class=\"data row20 col4\" ><a href=\"https://pypi.org/project/splot/\"><img src=\"https://badge.fury.io/py/splot.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col5\" class=\"data row20 col5\" >23,734<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col6\" class=\"data row20 col6\" ><a href=\"https://anaconda.org/conda-forge/splot/\"><img src=\"https://anaconda.org/conda-forge/splot/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col7\" class=\"data row20 col7\" ><a href=\"https://anaconda.org/conda-forge/splot/\"><img src=\"https://anaconda.org/conda-forge/splot/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row20_col8\" class=\"data row20 col8\" ><a href=\"https://anaconda.org/conda-forge/splot/\"><img src=\"https://anaconda.org/conda-forge/splot/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row21_col0\" class=\"data row21 col0\" ><strong>spopt</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col1\" class=\"data row21 col1\" ><a href=\"https://github.com/pysal/spopt\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col2\" class=\"data row21 col2\" ><span title=\"Spatial Optimization in PySAL\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col3\" class=\"data row21 col3\" ><a href=\"https://anaconda.org/conda-forge/spopt/\"><img src=\"https://anaconda.org/conda-forge/spopt/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col4\" class=\"data row21 col4\" ><a href=\"https://pypi.org/project/spopt/\"><img src=\"https://badge.fury.io/py/spopt.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col5\" class=\"data row21 col5\" >23,186<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col6\" class=\"data row21 col6\" ><a href=\"https://anaconda.org/conda-forge/spopt/\"><img src=\"https://anaconda.org/conda-forge/spopt/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col7\" class=\"data row21 col7\" ><a href=\"https://anaconda.org/conda-forge/spopt/\"><img src=\"https://anaconda.org/conda-forge/spopt/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row21_col8\" class=\"data row21 col8\" ><a href=\"https://anaconda.org/conda-forge/spopt/\"><img src=\"https://anaconda.org/conda-forge/spopt/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row22_col0\" class=\"data row22 col0\" ><strong>spreg</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col1\" class=\"data row22 col1\" ><a href=\"https://github.com/pysal/spreg\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col2\" class=\"data row22 col2\" ><span title=\"PySAL Spatial Econometrics Package\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col3\" class=\"data row22 col3\" ><a href=\"https://anaconda.org/conda-forge/spreg/\"><img src=\"https://anaconda.org/conda-forge/spreg/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col4\" class=\"data row22 col4\" ><a href=\"https://pypi.org/project/spreg/\"><img src=\"https://badge.fury.io/py/spreg.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col5\" class=\"data row22 col5\" >24,569<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col6\" class=\"data row22 col6\" ><a href=\"https://anaconda.org/conda-forge/spreg/\"><img src=\"https://anaconda.org/conda-forge/spreg/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col7\" class=\"data row22 col7\" ><a href=\"https://anaconda.org/conda-forge/spreg/\"><img src=\"https://anaconda.org/conda-forge/spreg/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row22_col8\" class=\"data row22 col8\" ><a href=\"https://anaconda.org/conda-forge/spreg/\"><img src=\"https://anaconda.org/conda-forge/spreg/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row23_col0\" class=\"data row23 col0\" ><strong>spvcm</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col1\" class=\"data row23 col1\" ><a href=\"https://github.com/ljwolf/spvcm\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col2\" class=\"data row23 col2\" ><span title=\"Fit spatial multilevel models and diagnose convergence\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col3\" class=\"data row23 col3\" ><a href=\"https://anaconda.org/conda-forge/spvcm/\"><img src=\"https://anaconda.org/conda-forge/spvcm/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col4\" class=\"data row23 col4\" ><a href=\"https://pypi.org/project/spvcm/\"><img src=\"https://badge.fury.io/py/spvcm.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col5\" class=\"data row23 col5\" >23,199<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col6\" class=\"data row23 col6\" ><a href=\"https://anaconda.org/conda-forge/spvcm/\"><img src=\"https://anaconda.org/conda-forge/spvcm/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col7\" class=\"data row23 col7\" ><a href=\"https://anaconda.org/conda-forge/spvcm/\"><img src=\"https://anaconda.org/conda-forge/spvcm/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row23_col8\" class=\"data row23 col8\" ><a href=\"https://anaconda.org/conda-forge/spvcm/\"><img src=\"https://anaconda.org/conda-forge/spvcm/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row24_col0\" class=\"data row24 col0\" ><strong>tobler</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col1\" class=\"data row24 col1\" ><a href=\"https://github.com/pysal/tobler\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col2\" class=\"data row24 col2\" ><span title=\"TOBLER: Areal Interpolation\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col3\" class=\"data row24 col3\" ><a href=\"https://anaconda.org/conda-forge/tobler/\"><img src=\"https://anaconda.org/conda-forge/tobler/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col4\" class=\"data row24 col4\" ><a href=\"https://pypi.org/project/tobler/\"><img src=\"https://badge.fury.io/py/tobler.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col5\" class=\"data row24 col5\" >24,794<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col6\" class=\"data row24 col6\" ><a href=\"https://anaconda.org/conda-forge/tobler/\"><img src=\"https://anaconda.org/conda-forge/tobler/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col7\" class=\"data row24 col7\" ><a href=\"https://anaconda.org/conda-forge/tobler/\"><img src=\"https://anaconda.org/conda-forge/tobler/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row24_col8\" class=\"data row24 col8\" ><a href=\"https://anaconda.org/conda-forge/tobler/\"><img src=\"https://anaconda.org/conda-forge/tobler/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row25_col0\" class=\"data row25 col0\" ><strong>trackintel</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col1\" class=\"data row25 col1\" ><a href=\"https://github.com/mie-lab/trackintel\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col2\" class=\"data row25 col2\" ><span title=\"Human mobility and movement analysis framework.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col3\" class=\"data row25 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col4\" class=\"data row25 col4\" ><a href=\"https://pypi.org/project/trackintel/\"><img src=\"https://badge.fury.io/py/trackintel.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col5\" class=\"data row25 col5\" >349<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col6\" class=\"data row25 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col7\" class=\"data row25 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row25_col8\" class=\"data row25 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row26_col0\" class=\"data row26 col0\" ><strong>transbigdata</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col1\" class=\"data row26 col1\" ><a href=\"https://github.com/ni1o1/transbigdata\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col2\" class=\"data row26 col2\" ><span title=\"A Python package developed for transportation spatio-temporal big data processing and analysis.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col3\" class=\"data row26 col3\" ><a href=\"https://anaconda.org/conda-forge/transbigdata/\"><img src=\"https://anaconda.org/conda-forge/transbigdata/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col4\" class=\"data row26 col4\" ><a href=\"https://pypi.org/project/transbigdata/\"><img src=\"https://badge.fury.io/py/transbigdata.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col5\" class=\"data row26 col5\" >580<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col6\" class=\"data row26 col6\" ><a href=\"https://anaconda.org/conda-forge/transbigdata/\"><img src=\"https://anaconda.org/conda-forge/transbigdata/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col7\" class=\"data row26 col7\" ><a href=\"https://anaconda.org/conda-forge/transbigdata/\"><img src=\"https://anaconda.org/conda-forge/transbigdata/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row26_col8\" class=\"data row26 col8\" ><a href=\"https://anaconda.org/conda-forge/transbigdata/\"><img src=\"https://anaconda.org/conda-forge/transbigdata/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row27_col0\" class=\"data row27 col0\" ><strong>urbanaccess</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col1\" class=\"data row27 col1\" ><a href=\"https://github.com/UDST/urbanaccess\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col2\" class=\"data row27 col2\" ><span title=\"A tool for creating GTFS transit and OSM pedestrian networks for use in Pandana accessibility analyses.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col3\" class=\"data row27 col3\" ><a href=\"https://anaconda.org/conda-forge/urbanaccess/\"><img src=\"https://anaconda.org/conda-forge/urbanaccess/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col4\" class=\"data row27 col4\" ><a href=\"https://pypi.org/project/urbanaccess/\"><img src=\"https://badge.fury.io/py/urbanaccess.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col5\" class=\"data row27 col5\" >247<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col6\" class=\"data row27 col6\" ><a href=\"https://anaconda.org/conda-forge/urbanaccess/\"><img src=\"https://anaconda.org/conda-forge/urbanaccess/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col7\" class=\"data row27 col7\" ><a href=\"https://anaconda.org/conda-forge/urbanaccess/\"><img src=\"https://anaconda.org/conda-forge/urbanaccess/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row27_col8\" class=\"data row27 col8\" ><a href=\"https://anaconda.org/conda-forge/urbanaccess/\"><img src=\"https://anaconda.org/conda-forge/urbanaccess/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e44b1_row28_col0\" class=\"data row28 col0\" ><strong>urbansim</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col1\" class=\"data row28 col1\" ><a href=\"https://github.com/udst/urbansim\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col2\" class=\"data row28 col2\" ><span title=\"Platform for building statistical models of cities and regions\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col3\" class=\"data row28 col3\" ><a href=\"https://anaconda.org/conda-forge/urbansim/\"><img src=\"https://anaconda.org/conda-forge/urbansim/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col4\" class=\"data row28 col4\" ><a href=\"https://pypi.org/project/urbansim/\"><img src=\"https://badge.fury.io/py/urbansim.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col5\" class=\"data row28 col5\" >240<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col6\" class=\"data row28 col6\" ><a href=\"https://anaconda.org/conda-forge/urbansim/\"><img src=\"https://anaconda.org/conda-forge/urbansim/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col7\" class=\"data row28 col7\" ><a href=\"https://anaconda.org/conda-forge/urbansim/\"><img src=\"https://anaconda.org/conda-forge/urbansim/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_e44b1_row28_col8\" class=\"data row28 col8\" ><a href=\"https://anaconda.org/conda-forge/urbansim/\"><img src=\"https://anaconda.org/conda-forge/urbansim/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<table id=\"T_1ada6\">\n",
       "  <caption><strong>Core / data structures</strong></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_1ada6_level0_col0\" class=\"col_heading level0 col0\" >Name</th>\n",
       "      <th id=\"T_1ada6_level0_col1\" class=\"col_heading level0 col1\" >Homepage</th>\n",
       "      <th id=\"T_1ada6_level0_col2\" class=\"col_heading level0 col2\" >Info</th>\n",
       "      <th id=\"T_1ada6_level0_col3\" class=\"col_heading level0 col3\" >License</th>\n",
       "      <th id=\"T_1ada6_level0_col4\" class=\"col_heading level0 col4\" >PyPi version</th>\n",
       "      <th id=\"T_1ada6_level0_col5\" class=\"col_heading level0 col5\" >PyPi downloads (monthly)</th>\n",
       "      <th id=\"T_1ada6_level0_col6\" class=\"col_heading level0 col6\" >Conda-forge version</th>\n",
       "      <th id=\"T_1ada6_level0_col7\" class=\"col_heading level0 col7\" >Conda-forge downloads</th>\n",
       "      <th id=\"T_1ada6_level0_col8\" class=\"col_heading level0 col8\" >Conda-forge latest release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row0_col0\" class=\"data row0 col0\" ><strong>GEOS</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col1\" class=\"data row0 col1\" ><a href=\"https://github.com/grst/geos\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col2\" class=\"data row0 col2\" ><span title=\"Map server to view, measure and print maps in a web browserand to display maps as an overlay in google earth.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col3\" class=\"data row0 col3\" ><a href=\"https://anaconda.org/conda-forge/GEOS/\"><img src=\"https://anaconda.org/conda-forge/GEOS/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col4\" class=\"data row0 col4\" ><a href=\"https://pypi.org/project/GEOS/\"><img src=\"https://badge.fury.io/py/GEOS.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col5\" class=\"data row0 col5\" >48,017<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col6\" class=\"data row0 col6\" ><a href=\"https://anaconda.org/conda-forge/GEOS/\"><img src=\"https://anaconda.org/conda-forge/GEOS/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col7\" class=\"data row0 col7\" ><a href=\"https://anaconda.org/conda-forge/GEOS/\"><img src=\"https://anaconda.org/conda-forge/GEOS/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row0_col8\" class=\"data row0 col8\" ><a href=\"https://anaconda.org/conda-forge/GEOS/\"><img src=\"https://anaconda.org/conda-forge/GEOS/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row1_col0\" class=\"data row1 col0\" ><strong>PDAL</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col1\" class=\"data row1 col1\" ><a href=\"https://pdal.io\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col2\" class=\"data row1 col2\" ><span title=\"Point cloud data processing\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col3\" class=\"data row1 col3\" ><a href=\"https://anaconda.org/conda-forge/PDAL/\"><img src=\"https://anaconda.org/conda-forge/PDAL/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col4\" class=\"data row1 col4\" ><a href=\"https://pypi.org/project/PDAL/\"><img src=\"https://badge.fury.io/py/PDAL.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col5\" class=\"data row1 col5\" >2,020<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col6\" class=\"data row1 col6\" ><a href=\"https://anaconda.org/conda-forge/PDAL/\"><img src=\"https://anaconda.org/conda-forge/PDAL/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col7\" class=\"data row1 col7\" ><a href=\"https://anaconda.org/conda-forge/PDAL/\"><img src=\"https://anaconda.org/conda-forge/PDAL/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row1_col8\" class=\"data row1 col8\" ><a href=\"https://anaconda.org/conda-forge/PDAL/\"><img src=\"https://anaconda.org/conda-forge/PDAL/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row2_col0\" class=\"data row2 col0\" ><strong>cuspatial</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col1\" class=\"data row2 col1\" ><a href=\"https://github.com/rapidsai/dask-cuda\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col2\" class=\"data row2 col2\" ><span title=\"No project description provided\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col3\" class=\"data row2 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col4\" class=\"data row2 col4\" ><a href=\"https://pypi.org/project/cuspatial/\"><img src=\"https://badge.fury.io/py/cuspatial.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col5\" class=\"data row2 col5\" >26<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col6\" class=\"data row2 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col7\" class=\"data row2 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row2_col8\" class=\"data row2 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row3_col0\" class=\"data row3 col0\" ><strong>dask-geopandas</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col1\" class=\"data row3 col1\" ><a href=\"https://github.com/geopandas/dask-geopandas\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col2\" class=\"data row3 col2\" ><span title=\"Parallel GeoPandas with Dask\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col3\" class=\"data row3 col3\" ><a href=\"https://anaconda.org/conda-forge/dask-geopandas/\"><img src=\"https://anaconda.org/conda-forge/dask-geopandas/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col4\" class=\"data row3 col4\" ><a href=\"https://pypi.org/project/dask-geopandas/\"><img src=\"https://badge.fury.io/py/dask-geopandas.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col5\" class=\"data row3 col5\" >7,160<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col6\" class=\"data row3 col6\" ><a href=\"https://anaconda.org/conda-forge/dask-geopandas/\"><img src=\"https://anaconda.org/conda-forge/dask-geopandas/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col7\" class=\"data row3 col7\" ><a href=\"https://anaconda.org/conda-forge/dask-geopandas/\"><img src=\"https://anaconda.org/conda-forge/dask-geopandas/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row3_col8\" class=\"data row3 col8\" ><a href=\"https://anaconda.org/conda-forge/dask-geopandas/\"><img src=\"https://anaconda.org/conda-forge/dask-geopandas/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row4_col0\" class=\"data row4 col0\" ><strong>fiona</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col1\" class=\"data row4 col1\" ><a href=\"http://github.com/Toblerity/Fiona\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col2\" class=\"data row4 col2\" ><span title=\"Fiona reads and writes spatial data files\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col3\" class=\"data row4 col3\" ><a href=\"https://anaconda.org/conda-forge/fiona/\"><img src=\"https://anaconda.org/conda-forge/fiona/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col4\" class=\"data row4 col4\" ><a href=\"https://pypi.org/project/fiona/\"><img src=\"https://badge.fury.io/py/fiona.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col5\" class=\"data row4 col5\" >2,605,728<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col6\" class=\"data row4 col6\" ><a href=\"https://anaconda.org/conda-forge/fiona/\"><img src=\"https://anaconda.org/conda-forge/fiona/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col7\" class=\"data row4 col7\" ><a href=\"https://anaconda.org/conda-forge/fiona/\"><img src=\"https://anaconda.org/conda-forge/fiona/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row4_col8\" class=\"data row4 col8\" ><a href=\"https://anaconda.org/conda-forge/fiona/\"><img src=\"https://anaconda.org/conda-forge/fiona/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row5_col0\" class=\"data row5 col0\" ><strong>geographiclib</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col1\" class=\"data row5 col1\" ><a href=\"https://geographiclib.sourceforge.io/Python/2.0\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col2\" class=\"data row5 col2\" ><span title=\"The geodesic routines from GeographicLib\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col3\" class=\"data row5 col3\" ><a href=\"https://anaconda.org/conda-forge/geographiclib/\"><img src=\"https://anaconda.org/conda-forge/geographiclib/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col4\" class=\"data row5 col4\" ><a href=\"https://pypi.org/project/geographiclib/\"><img src=\"https://badge.fury.io/py/geographiclib.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col5\" class=\"data row5 col5\" >3,418,834<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col6\" class=\"data row5 col6\" ><a href=\"https://anaconda.org/conda-forge/geographiclib/\"><img src=\"https://anaconda.org/conda-forge/geographiclib/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col7\" class=\"data row5 col7\" ><a href=\"https://anaconda.org/conda-forge/geographiclib/\"><img src=\"https://anaconda.org/conda-forge/geographiclib/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row5_col8\" class=\"data row5 col8\" ><a href=\"https://anaconda.org/conda-forge/geographiclib/\"><img src=\"https://anaconda.org/conda-forge/geographiclib/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row6_col0\" class=\"data row6 col0\" ><strong>geopandas</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col1\" class=\"data row6 col1\" ><a href=\"http://geopandas.org\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col2\" class=\"data row6 col2\" ><span title=\"Geographic pandas extensions\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col3\" class=\"data row6 col3\" ><a href=\"https://anaconda.org/conda-forge/geopandas/\"><img src=\"https://anaconda.org/conda-forge/geopandas/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col4\" class=\"data row6 col4\" ><a href=\"https://pypi.org/project/geopandas/\"><img src=\"https://badge.fury.io/py/geopandas.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col5\" class=\"data row6 col5\" >2,406,025<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col6\" class=\"data row6 col6\" ><a href=\"https://anaconda.org/conda-forge/geopandas/\"><img src=\"https://anaconda.org/conda-forge/geopandas/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col7\" class=\"data row6 col7\" ><a href=\"https://anaconda.org/conda-forge/geopandas/\"><img src=\"https://anaconda.org/conda-forge/geopandas/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row6_col8\" class=\"data row6 col8\" ><a href=\"https://anaconda.org/conda-forge/geopandas/\"><img src=\"https://anaconda.org/conda-forge/geopandas/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row7_col0\" class=\"data row7 col0\" ><strong>laspy</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col1\" class=\"data row7 col1\" ><a href=\"https://github.com/laspy/laspy\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col2\" class=\"data row7 col2\" ><span title=\"Native Python ASPRS LAS read/write library\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col3\" class=\"data row7 col3\" ><a href=\"https://anaconda.org/conda-forge/laspy/\"><img src=\"https://anaconda.org/conda-forge/laspy/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col4\" class=\"data row7 col4\" ><a href=\"https://pypi.org/project/laspy/\"><img src=\"https://badge.fury.io/py/laspy.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col5\" class=\"data row7 col5\" >27,799<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col6\" class=\"data row7 col6\" ><a href=\"https://anaconda.org/conda-forge/laspy/\"><img src=\"https://anaconda.org/conda-forge/laspy/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col7\" class=\"data row7 col7\" ><a href=\"https://anaconda.org/conda-forge/laspy/\"><img src=\"https://anaconda.org/conda-forge/laspy/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row7_col8\" class=\"data row7 col8\" ><a href=\"https://anaconda.org/conda-forge/laspy/\"><img src=\"https://anaconda.org/conda-forge/laspy/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row8_col0\" class=\"data row8 col0\" ><strong>libpysal</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col1\" class=\"data row8 col1\" ><a href=\"http://pysal.org/libpysal\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col2\" class=\"data row8 col2\" ><span title=\"Core components of PySAL A library of spatial analysis functions.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col3\" class=\"data row8 col3\" ><a href=\"https://anaconda.org/conda-forge/libpysal/\"><img src=\"https://anaconda.org/conda-forge/libpysal/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col4\" class=\"data row8 col4\" ><a href=\"https://pypi.org/project/libpysal/\"><img src=\"https://badge.fury.io/py/libpysal.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col5\" class=\"data row8 col5\" >60,019<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col6\" class=\"data row8 col6\" ><a href=\"https://anaconda.org/conda-forge/libpysal/\"><img src=\"https://anaconda.org/conda-forge/libpysal/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col7\" class=\"data row8 col7\" ><a href=\"https://anaconda.org/conda-forge/libpysal/\"><img src=\"https://anaconda.org/conda-forge/libpysal/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row8_col8\" class=\"data row8 col8\" ><a href=\"https://anaconda.org/conda-forge/libpysal/\"><img src=\"https://anaconda.org/conda-forge/libpysal/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row9_col0\" class=\"data row9 col0\" ><strong>pygeos</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col1\" class=\"data row9 col1\" ><a href=\"https://github.com/pygeos/pygeos\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col2\" class=\"data row9 col2\" ><span title=\"GEOS wrapped in numpy ufuncs\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col3\" class=\"data row9 col3\" ><a href=\"https://anaconda.org/conda-forge/pygeos/\"><img src=\"https://anaconda.org/conda-forge/pygeos/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col4\" class=\"data row9 col4\" ><a href=\"https://pypi.org/project/pygeos/\"><img src=\"https://badge.fury.io/py/pygeos.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col5\" class=\"data row9 col5\" >171,470<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col6\" class=\"data row9 col6\" ><a href=\"https://anaconda.org/conda-forge/pygeos/\"><img src=\"https://anaconda.org/conda-forge/pygeos/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col7\" class=\"data row9 col7\" ><a href=\"https://anaconda.org/conda-forge/pygeos/\"><img src=\"https://anaconda.org/conda-forge/pygeos/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row9_col8\" class=\"data row9 col8\" ><a href=\"https://anaconda.org/conda-forge/pygeos/\"><img src=\"https://anaconda.org/conda-forge/pygeos/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row10_col0\" class=\"data row10 col0\" ><strong>pyogrio</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col1\" class=\"data row10 col1\" ><a href=\"https://github.com/pyogrio/pyogrio\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col2\" class=\"data row10 col2\" ><span title=\"Vectorized spatial vector file format I/O using GDAL/OGR\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col3\" class=\"data row10 col3\" ><a href=\"https://anaconda.org/conda-forge/pyogrio/\"><img src=\"https://anaconda.org/conda-forge/pyogrio/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col4\" class=\"data row10 col4\" ><a href=\"https://pypi.org/project/pyogrio/\"><img src=\"https://badge.fury.io/py/pyogrio.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col5\" class=\"data row10 col5\" >1,145<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col6\" class=\"data row10 col6\" ><a href=\"https://anaconda.org/conda-forge/pyogrio/\"><img src=\"https://anaconda.org/conda-forge/pyogrio/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col7\" class=\"data row10 col7\" ><a href=\"https://anaconda.org/conda-forge/pyogrio/\"><img src=\"https://anaconda.org/conda-forge/pyogrio/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row10_col8\" class=\"data row10 col8\" ><a href=\"https://anaconda.org/conda-forge/pyogrio/\"><img src=\"https://anaconda.org/conda-forge/pyogrio/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row11_col0\" class=\"data row11 col0\" ><strong>pyshp</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col1\" class=\"data row11 col1\" ><a href=\"https://github.com/GeospatialPython/pyshp\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col2\" class=\"data row11 col2\" ><span title=\"Pure Python read/write support for ESRI Shapefile format\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col3\" class=\"data row11 col3\" ><a href=\"https://anaconda.org/conda-forge/pyshp/\"><img src=\"https://anaconda.org/conda-forge/pyshp/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col4\" class=\"data row11 col4\" ><a href=\"https://pypi.org/project/pyshp/\"><img src=\"https://badge.fury.io/py/pyshp.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col5\" class=\"data row11 col5\" >356,639<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col6\" class=\"data row11 col6\" ><a href=\"https://anaconda.org/conda-forge/pyshp/\"><img src=\"https://anaconda.org/conda-forge/pyshp/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col7\" class=\"data row11 col7\" ><a href=\"https://anaconda.org/conda-forge/pyshp/\"><img src=\"https://anaconda.org/conda-forge/pyshp/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row11_col8\" class=\"data row11 col8\" ><a href=\"https://anaconda.org/conda-forge/pyshp/\"><img src=\"https://anaconda.org/conda-forge/pyshp/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row12_col0\" class=\"data row12 col0\" ><strong>python-igraph</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col1\" class=\"data row12 col1\" ><a href=\"https://igraph.org/python\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col2\" class=\"data row12 col2\" ><span title=\"High performance graph data structures and algorithms (legacy package)\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col3\" class=\"data row12 col3\" ><a href=\"https://anaconda.org/conda-forge/python-igraph/\"><img src=\"https://anaconda.org/conda-forge/python-igraph/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col4\" class=\"data row12 col4\" ><a href=\"https://pypi.org/project/python-igraph/\"><img src=\"https://badge.fury.io/py/python-igraph.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col5\" class=\"data row12 col5\" >241,827<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col6\" class=\"data row12 col6\" ><a href=\"https://anaconda.org/conda-forge/python-igraph/\"><img src=\"https://anaconda.org/conda-forge/python-igraph/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col7\" class=\"data row12 col7\" ><a href=\"https://anaconda.org/conda-forge/python-igraph/\"><img src=\"https://anaconda.org/conda-forge/python-igraph/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row12_col8\" class=\"data row12 col8\" ><a href=\"https://anaconda.org/conda-forge/python-igraph/\"><img src=\"https://anaconda.org/conda-forge/python-igraph/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row13_col0\" class=\"data row13 col0\" ><strong>rtree</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col1\" class=\"data row13 col1\" ><a href=\"https://github.com/Toblerity/rtree\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col2\" class=\"data row13 col2\" ><span title=\"R-Tree spatial index for Python GIS\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col3\" class=\"data row13 col3\" ><a href=\"https://anaconda.org/conda-forge/rtree/\"><img src=\"https://anaconda.org/conda-forge/rtree/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col4\" class=\"data row13 col4\" ><a href=\"https://pypi.org/project/rtree/\"><img src=\"https://badge.fury.io/py/rtree.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col5\" class=\"data row13 col5\" >974,019<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col6\" class=\"data row13 col6\" ><a href=\"https://anaconda.org/conda-forge/rtree/\"><img src=\"https://anaconda.org/conda-forge/rtree/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col7\" class=\"data row13 col7\" ><a href=\"https://anaconda.org/conda-forge/rtree/\"><img src=\"https://anaconda.org/conda-forge/rtree/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row13_col8\" class=\"data row13 col8\" ><a href=\"https://anaconda.org/conda-forge/rtree/\"><img src=\"https://anaconda.org/conda-forge/rtree/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1ada6_row14_col0\" class=\"data row14 col0\" ><strong>shapely</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col1\" class=\"data row14 col1\" ><a href=\"https://github.com/shapely/shapely\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col2\" class=\"data row14 col2\" ><span title=\"Geometric objects, predicates, and operations\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col3\" class=\"data row14 col3\" ><a href=\"https://anaconda.org/conda-forge/shapely/\"><img src=\"https://anaconda.org/conda-forge/shapely/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col4\" class=\"data row14 col4\" ><a href=\"https://pypi.org/project/shapely/\"><img src=\"https://badge.fury.io/py/shapely.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col5\" class=\"data row14 col5\" >7,085,616<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col6\" class=\"data row14 col6\" ><a href=\"https://anaconda.org/conda-forge/shapely/\"><img src=\"https://anaconda.org/conda-forge/shapely/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col7\" class=\"data row14 col7\" ><a href=\"https://anaconda.org/conda-forge/shapely/\"><img src=\"https://anaconda.org/conda-forge/shapely/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_1ada6_row14_col8\" class=\"data row14 col8\" ><a href=\"https://anaconda.org/conda-forge/shapely/\"><img src=\"https://anaconda.org/conda-forge/shapely/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  font-size: 105%;\n",
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       "  z-index: 1;\n",
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       "#T_ef69f #T_ef69f_row0_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_ef69f #T_ef69f_row0_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Python Geocoding Toolbox\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_ef69f #T_ef69f_row1_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_ef69f #T_ef69f_row1_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Hierarchical hexagonal geospatial indexing system\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_ef69f #T_ef69f_row2_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_ef69f #T_ef69f_row2_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Tools for the extraction of OpenStreetMap street network data for use in Pandana accessibility analyses.\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
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       "  visibility: visible;\n",
       "}\n",
       "#T_ef69f #T_ef69f_row3_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
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       "  visibility: visible;\n",
       "}\n",
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       "}\n",
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       "}\n",
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       "#T_ef69f_row0_col1, #T_ef69f_row1_col1, #T_ef69f_row2_col1, #T_ef69f_row3_col1, #T_ef69f_row4_col1, #T_ef69f_row5_col1, #T_ef69f_row6_col1 {\n",
       "  text-align: center;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_ef69f\">\n",
       "  <caption><strong>Data extraction / processing</strong></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ef69f_level0_col0\" class=\"col_heading level0 col0\" >Name</th>\n",
       "      <th id=\"T_ef69f_level0_col1\" class=\"col_heading level0 col1\" >Homepage</th>\n",
       "      <th id=\"T_ef69f_level0_col2\" class=\"col_heading level0 col2\" >Info</th>\n",
       "      <th id=\"T_ef69f_level0_col3\" class=\"col_heading level0 col3\" >License</th>\n",
       "      <th id=\"T_ef69f_level0_col4\" class=\"col_heading level0 col4\" >PyPi version</th>\n",
       "      <th id=\"T_ef69f_level0_col5\" class=\"col_heading level0 col5\" >PyPi downloads (monthly)</th>\n",
       "      <th id=\"T_ef69f_level0_col6\" class=\"col_heading level0 col6\" >Conda-forge version</th>\n",
       "      <th id=\"T_ef69f_level0_col7\" class=\"col_heading level0 col7\" >Conda-forge downloads</th>\n",
       "      <th id=\"T_ef69f_level0_col8\" class=\"col_heading level0 col8\" >Conda-forge latest release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row0_col0\" class=\"data row0 col0\" ><strong>geopy</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col1\" class=\"data row0 col1\" ><a href=\"https://github.com/geopy/geopy\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col2\" class=\"data row0 col2\" ><span title=\"Python Geocoding Toolbox\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col3\" class=\"data row0 col3\" ><a href=\"https://anaconda.org/conda-forge/geopy/\"><img src=\"https://anaconda.org/conda-forge/geopy/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col4\" class=\"data row0 col4\" ><a href=\"https://pypi.org/project/geopy/\"><img src=\"https://badge.fury.io/py/geopy.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col5\" class=\"data row0 col5\" >4,544,815<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col6\" class=\"data row0 col6\" ><a href=\"https://anaconda.org/conda-forge/geopy/\"><img src=\"https://anaconda.org/conda-forge/geopy/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col7\" class=\"data row0 col7\" ><a href=\"https://anaconda.org/conda-forge/geopy/\"><img src=\"https://anaconda.org/conda-forge/geopy/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row0_col8\" class=\"data row0 col8\" ><a href=\"https://anaconda.org/conda-forge/geopy/\"><img src=\"https://anaconda.org/conda-forge/geopy/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row1_col0\" class=\"data row1 col0\" ><strong>h3</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col1\" class=\"data row1 col1\" ><a href=\"https://github.com/uber/h3-py\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col2\" class=\"data row1 col2\" ><span title=\"Hierarchical hexagonal geospatial indexing system\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col3\" class=\"data row1 col3\" ><a href=\"https://anaconda.org/conda-forge/h3/\"><img src=\"https://anaconda.org/conda-forge/h3/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col4\" class=\"data row1 col4\" ><a href=\"https://pypi.org/project/h3/\"><img src=\"https://badge.fury.io/py/h3.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col5\" class=\"data row1 col5\" >1,497,900<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col6\" class=\"data row1 col6\" ><a href=\"https://anaconda.org/conda-forge/h3/\"><img src=\"https://anaconda.org/conda-forge/h3/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col7\" class=\"data row1 col7\" ><a href=\"https://anaconda.org/conda-forge/h3/\"><img src=\"https://anaconda.org/conda-forge/h3/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row1_col8\" class=\"data row1 col8\" ><a href=\"https://anaconda.org/conda-forge/h3/\"><img src=\"https://anaconda.org/conda-forge/h3/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row2_col0\" class=\"data row2 col0\" ><strong>osmnet</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col1\" class=\"data row2 col1\" ><a href=\"https://github.com/UDST/osmnet\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col2\" class=\"data row2 col2\" ><span title=\"Tools for the extraction of OpenStreetMap street network data for use in Pandana accessibility analyses.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col3\" class=\"data row2 col3\" ><a href=\"https://anaconda.org/conda-forge/osmnet/\"><img src=\"https://anaconda.org/conda-forge/osmnet/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col4\" class=\"data row2 col4\" ><a href=\"https://pypi.org/project/osmnet/\"><img src=\"https://badge.fury.io/py/osmnet.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col5\" class=\"data row2 col5\" >4,705<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col6\" class=\"data row2 col6\" ><a href=\"https://anaconda.org/conda-forge/osmnet/\"><img src=\"https://anaconda.org/conda-forge/osmnet/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col7\" class=\"data row2 col7\" ><a href=\"https://anaconda.org/conda-forge/osmnet/\"><img src=\"https://anaconda.org/conda-forge/osmnet/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row2_col8\" class=\"data row2 col8\" ><a href=\"https://anaconda.org/conda-forge/osmnet/\"><img src=\"https://anaconda.org/conda-forge/osmnet/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row3_col0\" class=\"data row3 col0\" ><strong>osmnx</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col1\" class=\"data row3 col1\" ><a href=\"https://github.com/gboeing/osmnx\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col2\" class=\"data row3 col2\" ><span title=\"Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col3\" class=\"data row3 col3\" ><a href=\"https://anaconda.org/conda-forge/osmnx/\"><img src=\"https://anaconda.org/conda-forge/osmnx/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col4\" class=\"data row3 col4\" ><a href=\"https://pypi.org/project/osmnx/\"><img src=\"https://badge.fury.io/py/osmnx.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col5\" class=\"data row3 col5\" >70,199<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col6\" class=\"data row3 col6\" ><a href=\"https://anaconda.org/conda-forge/osmnx/\"><img src=\"https://anaconda.org/conda-forge/osmnx/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col7\" class=\"data row3 col7\" ><a href=\"https://anaconda.org/conda-forge/osmnx/\"><img src=\"https://anaconda.org/conda-forge/osmnx/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row3_col8\" class=\"data row3 col8\" ><a href=\"https://anaconda.org/conda-forge/osmnx/\"><img src=\"https://anaconda.org/conda-forge/osmnx/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row4_col0\" class=\"data row4 col0\" ><strong>pyntcloud</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col1\" class=\"data row4 col1\" ><a href=\"https://github.com/daavoo/pyntcloud\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col2\" class=\"data row4 col2\" ><span title=\"Python library for working with 3D point clouds.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col3\" class=\"data row4 col3\" ><a href=\"https://anaconda.org/conda-forge/pyntcloud/\"><img src=\"https://anaconda.org/conda-forge/pyntcloud/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col4\" class=\"data row4 col4\" ><a href=\"https://pypi.org/project/pyntcloud/\"><img src=\"https://badge.fury.io/py/pyntcloud.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col5\" class=\"data row4 col5\" >8,362<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col6\" class=\"data row4 col6\" ><a href=\"https://anaconda.org/conda-forge/pyntcloud/\"><img src=\"https://anaconda.org/conda-forge/pyntcloud/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col7\" class=\"data row4 col7\" ><a href=\"https://anaconda.org/conda-forge/pyntcloud/\"><img src=\"https://anaconda.org/conda-forge/pyntcloud/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row4_col8\" class=\"data row4 col8\" ><a href=\"https://anaconda.org/conda-forge/pyntcloud/\"><img src=\"https://anaconda.org/conda-forge/pyntcloud/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row5_col0\" class=\"data row5 col0\" ><strong>pyrosm</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col1\" class=\"data row5 col1\" ><a href=\"https://pyrosm.readthedocs.io/\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col2\" class=\"data row5 col2\" ><span title=\"A Python tool to parse OSM data from Protobuf format into GeoDataFrame.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col3\" class=\"data row5 col3\" ><a href=\"https://anaconda.org/conda-forge/pyrosm/\"><img src=\"https://anaconda.org/conda-forge/pyrosm/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col4\" class=\"data row5 col4\" ><a href=\"https://pypi.org/project/pyrosm/\"><img src=\"https://badge.fury.io/py/pyrosm.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col5\" class=\"data row5 col5\" >6,442<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col6\" class=\"data row5 col6\" ><a href=\"https://anaconda.org/conda-forge/pyrosm/\"><img src=\"https://anaconda.org/conda-forge/pyrosm/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col7\" class=\"data row5 col7\" ><a href=\"https://anaconda.org/conda-forge/pyrosm/\"><img src=\"https://anaconda.org/conda-forge/pyrosm/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row5_col8\" class=\"data row5 col8\" ><a href=\"https://anaconda.org/conda-forge/pyrosm/\"><img src=\"https://anaconda.org/conda-forge/pyrosm/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ef69f_row6_col0\" class=\"data row6 col0\" ><strong>snkit</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col1\" class=\"data row6 col1\" ><a href=\"https://github.com/tomalrussell/snkit\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col2\" class=\"data row6 col2\" ><span title=\"a spatial networks toolkit\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col3\" class=\"data row6 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col4\" class=\"data row6 col4\" ><a href=\"https://pypi.org/project/snkit/\"><img src=\"https://badge.fury.io/py/snkit.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col5\" class=\"data row6 col5\" >29<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col6\" class=\"data row6 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col7\" class=\"data row6 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_ef69f_row6_col8\" class=\"data row6 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<style type=\"text/css\">\n",
       "#T_5f143 th {\n",
       "  font-size: 105%;\n",
       "  text-align: center;\n",
       "  background-color: #F0F3CF;\n",
       "}\n",
       "#T_5f143 caption {\n",
       "  caption-side: top;\n",
       "  font-size: 150%;\n",
       "  font-weight: bold;\n",
       "  text-align: left;\n",
       "  height: 50px;\n",
       "  color: black;\n",
       "}\n",
       "#T_5f143 td {\n",
       "  font-size: 95%;\n",
       "  text-align: center;\n",
       "}\n",
       "#T_5f143 .pd-t {\n",
       "  visibility: hidden;\n",
       "  position: absolute;\n",
       "  z-index: 1;\n",
       "  background-color: black;\n",
       "  color: white;\n",
       "  transform: translate(-20px, -20px);\n",
       "}\n",
       "#T_5f143 #T_5f143_row0_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_5f143 #T_5f143_row0_col2 .pd-t::after {\n",
       "  content: \"<span title=\"High-level geospatial plotting for Python.\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_5f143 #T_5f143_row1_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_5f143 #T_5f143_row1_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Legendgrams are map legends that visualize the distribution of observations by color in a given map\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_5f143 #T_5f143_row2_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_5f143 #T_5f143_row2_col2 .pd-t::after {\n",
       "  content: \"<span title=\"Bokeh plotting backend for Pandas, GeoPandas & Pyspark\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_5f143 #T_5f143_row3_col2:hover .pd-t {\n",
       "  visibility: visible;\n",
       "}\n",
       "#T_5f143 #T_5f143_row3_col2 .pd-t::after {\n",
       "  content: \"<span title=\"A library for creating scatterplots using visual entropy glyphs.\"><strong>ⓘ</strong></span>\";\n",
       "}\n",
       "#T_5f143_row0_col1, #T_5f143_row1_col1, #T_5f143_row2_col1, #T_5f143_row3_col1 {\n",
       "  text-align: center;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_5f143\">\n",
       "  <caption><strong>Visualization</strong></caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_5f143_level0_col0\" class=\"col_heading level0 col0\" >Name</th>\n",
       "      <th id=\"T_5f143_level0_col1\" class=\"col_heading level0 col1\" >Homepage</th>\n",
       "      <th id=\"T_5f143_level0_col2\" class=\"col_heading level0 col2\" >Info</th>\n",
       "      <th id=\"T_5f143_level0_col3\" class=\"col_heading level0 col3\" >License</th>\n",
       "      <th id=\"T_5f143_level0_col4\" class=\"col_heading level0 col4\" >PyPi version</th>\n",
       "      <th id=\"T_5f143_level0_col5\" class=\"col_heading level0 col5\" >PyPi downloads (monthly)</th>\n",
       "      <th id=\"T_5f143_level0_col6\" class=\"col_heading level0 col6\" >Conda-forge version</th>\n",
       "      <th id=\"T_5f143_level0_col7\" class=\"col_heading level0 col7\" >Conda-forge downloads</th>\n",
       "      <th id=\"T_5f143_level0_col8\" class=\"col_heading level0 col8\" >Conda-forge latest release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_5f143_row0_col0\" class=\"data row0 col0\" ><strong>geoplot</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col1\" class=\"data row0 col1\" ><a href=\"https://github.com/ResidentMario/geoplot\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col2\" class=\"data row0 col2\" ><span title=\"High-level geospatial plotting for Python.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col3\" class=\"data row0 col3\" ><a href=\"https://anaconda.org/conda-forge/geoplot/\"><img src=\"https://anaconda.org/conda-forge/geoplot/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col4\" class=\"data row0 col4\" ><a href=\"https://pypi.org/project/geoplot/\"><img src=\"https://badge.fury.io/py/geoplot.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col5\" class=\"data row0 col5\" >7,769<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col6\" class=\"data row0 col6\" ><a href=\"https://anaconda.org/conda-forge/geoplot/\"><img src=\"https://anaconda.org/conda-forge/geoplot/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col7\" class=\"data row0 col7\" ><a href=\"https://anaconda.org/conda-forge/geoplot/\"><img src=\"https://anaconda.org/conda-forge/geoplot/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row0_col8\" class=\"data row0 col8\" ><a href=\"https://anaconda.org/conda-forge/geoplot/\"><img src=\"https://anaconda.org/conda-forge/geoplot/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5f143_row1_col0\" class=\"data row1 col0\" ><strong>legendgram</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col1\" class=\"data row1 col1\" ><a href=\"https://github.com/pysal/legendgram\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col2\" class=\"data row1 col2\" ><span title=\"Legendgrams are map legends that visualize the distribution of observations by color in a given map\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col3\" class=\"data row1 col3\" ><a href=\"https://anaconda.org/conda-forge/legendgram/\"><img src=\"https://anaconda.org/conda-forge/legendgram/badges/license.svg\" alt=\"License\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col4\" class=\"data row1 col4\" ><a href=\"https://pypi.org/project/legendgram/\"><img src=\"https://badge.fury.io/py/legendgram.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col5\" class=\"data row1 col5\" >37<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col6\" class=\"data row1 col6\" ><a href=\"https://anaconda.org/conda-forge/legendgram/\"><img src=\"https://anaconda.org/conda-forge/legendgram/badges/version.svg\" alt=\"Conda version\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col7\" class=\"data row1 col7\" ><a href=\"https://anaconda.org/conda-forge/legendgram/\"><img src=\"https://anaconda.org/conda-forge/legendgram/badges/downloads.svg\" alt=\"Conda downloads\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row1_col8\" class=\"data row1 col8\" ><a href=\"https://anaconda.org/conda-forge/legendgram/\"><img src=\"https://anaconda.org/conda-forge/legendgram/badges/latest_release_date.svg\" alt=\"Conda latest release\"></a><span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5f143_row2_col0\" class=\"data row2 col0\" ><strong>pandas-bokeh</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col1\" class=\"data row2 col1\" ><a href=\"https://github.com/PatrikHlobil/Pandas-Bokeh\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col2\" class=\"data row2 col2\" ><span title=\"Bokeh plotting backend for Pandas, GeoPandas & Pyspark\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col3\" class=\"data row2 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col4\" class=\"data row2 col4\" ><a href=\"https://pypi.org/project/pandas-bokeh/\"><img src=\"https://badge.fury.io/py/pandas-bokeh.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col5\" class=\"data row2 col5\" >13,031<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col6\" class=\"data row2 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col7\" class=\"data row2 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row2_col8\" class=\"data row2 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5f143_row3_col0\" class=\"data row3 col0\" ><strong>vizent</strong><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col1\" class=\"data row3 col1\" ><a href=\"https://github.com/luyc12/vizent\">🏠</a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col2\" class=\"data row3 col2\" ><span title=\"A library for creating scatterplots using visual entropy glyphs.\"><strong>ⓘ</strong></span><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col3\" class=\"data row3 col3\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col4\" class=\"data row3 col4\" ><a href=\"https://pypi.org/project/vizent/\"><img src=\"https://badge.fury.io/py/vizent.svg\" alt=\"PyPI version\" height=\"18\"></a><span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col5\" class=\"data row3 col5\" >12<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col6\" class=\"data row3 col6\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col7\" class=\"data row3 col7\" >NA<span class=\"pd-t\"></span></td>\n",
       "      <td id=\"T_5f143_row3_col8\" class=\"data row3 col8\" >NA<span class=\"pd-t\"></span></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pygieons import Ecosystem\n",
    "\n",
    "# Initialize\n",
    "e = Ecosystem(plot_type=\"vector\", log=False)\n",
    "\n",
    "# Prepare the table and plot it\n",
    "e.prepare_table().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9595e1e3-000a-4130-85ed-873e6f3bb130",
   "metadata": {},
   "source": [
    "## Linkages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "951482b3-5ad9-4e92-8dad-6cc6703804c2",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<html>\n",
       "<head>\n",
       "<link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/npm/vis-network@latest/styles/vis-network.css\" type=\"text/css\" />\n",
       "<script type=\"text/javascript\" src=\"https://cdn.jsdelivr.net/npm/vis-network@latest/dist/vis-network.min.js\"> </script>\n",
       "<center>\n",
       "<h1></h1>\n",
       "</center>\n",
       "\n",
       "<!-- <link rel=\"stylesheet\" href=\"../node_modules/vis/dist/vis.min.css\" type=\"text/css\" />\n",
       "<script type=\"text/javascript\" src=\"../node_modules/vis/dist/vis.js\"> </script>-->\n",
       "\n",
       "<style type=\"text/css\">\n",
       "\n",
       "        #mynetwork {\n",
       "            width: 900px;\n",
       "            height: 700px;\n",
       "            background-color: #ffffff;\n",
       "            border: 1px solid lightgray;\n",
       "            position: relative;\n",
       "            float: left;\n",
       "        }\n",
       "\n",
       "        \n",
       "        #loadingBar {\n",
       "            position:absolute;\n",
       "            top:0px;\n",
       "            left:0px;\n",
       "            width: 900px;\n",
       "            height: 700px;\n",
       "            background-color:rgba(200,200,200,0.8);\n",
       "            -webkit-transition: all 0.5s ease;\n",
       "            -moz-transition: all 0.5s ease;\n",
       "            -ms-transition: all 0.5s ease;\n",
       "            -o-transition: all 0.5s ease;\n",
       "            transition: all 0.5s ease;\n",
       "            opacity:1;\n",
       "        }\n",
       "\n",
       "        #bar {\n",
       "            position:absolute;\n",
       "            top:0px;\n",
       "            left:0px;\n",
       "            width:20px;\n",
       "            height:20px;\n",
       "            margin:auto auto auto auto;\n",
       "            border-radius:11px;\n",
       "            border:2px solid rgba(30,30,30,0.05);\n",
       "            background: rgb(0, 173, 246); /* Old browsers */\n",
       "            box-shadow: 2px 0px 4px rgba(0,0,0,0.4);\n",
       "        }\n",
       "\n",
       "        #border {\n",
       "            position:absolute;\n",
       "            top:10px;\n",
       "            left:10px;\n",
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       "            box-shadow: 0px 0px 4px rgba(0,0,0,0.2);\n",
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       "\n",
       "        #text {\n",
       "            position:absolute;\n",
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       "            width:30px;\n",
       "            height:50px;\n",
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       "            font-size:22px;\n",
       "            color: #000000;\n",
       "        }\n",
       "\n",
       "        div.outerBorder {\n",
       "            position:relative;\n",
       "            top:400px;\n",
       "            width:600px;\n",
       "            height:44px;\n",
       "            margin:auto auto auto auto;\n",
       "            border:8px solid rgba(0,0,0,0.1);\n",
       "            background: rgb(252,252,252); /* Old browsers */\n",
       "            background: -moz-linear-gradient(top,  rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */\n",
       "            background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */\n",
       "            background: -webkit-linear-gradient(top,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */\n",
       "            background: -o-linear-gradient(top,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */\n",
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       "            border-radius:72px;\n",
       "            box-shadow: 0px 0px 10px rgba(0,0,0,0.2);\n",
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       "        \n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "        /* position absolute is important and the container has to be relative or absolute as well. */\n",
       "\t    div.popup {\n",
       "            position:absolute;\n",
       "            top:0px;\n",
       "            left:0px;\n",
       "            display:none;\n",
       "            background-color:#f5f4ed;\n",
       "            -moz-border-radius: 3px;\n",
       "            -webkit-border-radius: 3px;\n",
       "            border-radius: 3px;\n",
       "            border: 1px solid #808074;\n",
       "            box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n",
       "\t    }\n",
       "\n",
       "\t    /* hide the original tooltip */\n",
       "\t    .vis-network-tooltip {\n",
       "\t      display:none;\n",
       "\t    }\n",
       "        \n",
       "</style>\n",
       "\n",
       "</head>\n",
       "\n",
       "<body>\n",
       "<div id = \"mynetwork\"></div>\n",
       "\n",
       "<div id=\"loadingBar\">\n",
       "    <div class=\"outerBorder\">\n",
       "        <div id=\"text\">0%</div>\n",
       "        <div id=\"border\">\n",
       "            <div id=\"bar\"></div>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "    // initialize global variables.\n",
       "    var edges;\n",
       "    var nodes;\n",
       "    var network; \n",
       "    var container;\n",
       "    var options, data;\n",
       "\n",
       "    \n",
       "    // This method is responsible for drawing the graph, returns the drawn network\n",
       "    function drawGraph() {\n",
       "        var container = document.getElementById('mynetwork');\n",
       "        \n",
       "        \n",
       "\n",
       "        // parsing and collecting nodes and edges from the python\n",
       "        nodes = new vis.DataSet([{\"color\": null, \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"GDAL\", \"label\": \"GDAL\", \"shape\": \"star\", \"size\": 17.453431410429822, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/GDAL/\\\" target=\\\"_blank\\\"\\u003eGDAL\\u003c/a\\u003e\"}, {\"color\": null, \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"GEOS\", \"label\": \"GEOS\", \"shape\": \"star\", \"size\": 15.551257649416725, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/GEOS/\\\" target=\\\"_blank\\\"\\u003eGEOS\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"PDAL\", \"label\": \"PDAL\", \"shape\": \"dot\", \"size\": 10.980139577639157, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/PDAL/\\\" target=\\\"_blank\\\"\\u003ePDAL\\u003c/a\\u003e\"}, {\"color\": null, \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"PROJ\", \"label\": \"PROJ\", \"shape\": \"star\", \"size\": 12.99028127536032, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/PROJ/\\\" target=\\\"_blank\\\"\\u003ePROJ\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"access\", \"label\": \"access\", \"shape\": \"dot\", \"size\": 14.699138625275914, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/access/\\\" target=\\\"_blank\\\"\\u003eaccess\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"astropy\", \"label\": \"astropy\", \"shape\": \"dot\", \"size\": 19.06598930358338, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/astropy/\\\" target=\\\"_blank\\\"\\u003eastropy\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"basemap\", \"label\": \"basemap\", \"shape\": \"dot\", \"size\": 14.179287104646004, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/basemap/\\\" target=\\\"_blank\\\"\\u003ebasemap\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"bokeh\", \"label\": \"bokeh\", \"shape\": \"dot\", \"size\": 21.407549928012465, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/bokeh/\\\" target=\\\"_blank\\\"\\u003ebokeh\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"cartopy\", \"label\": \"cartopy\", \"shape\": \"dot\", \"size\": 16.920643617005837, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/cartopy/\\\" target=\\\"_blank\\\"\\u003ecartopy\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"cudf\", \"label\": \"cudf\", \"shape\": \"diamond\", \"size\": 10.747353829478062, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/cudf/\\\" target=\\\"_blank\\\"\\u003ecudf\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"cuspatial\", \"label\": \"cuspatial\", \"shape\": \"dot\", \"size\": 4.700439718141092, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/cuspatial/\\\" target=\\\"_blank\\\"\\u003ecuspatial\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"dask\", \"label\": \"dask\", \"shape\": \"diamond\", \"size\": 23.005682280673994, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/dask/\\\" target=\\\"_blank\\\"\\u003edask\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"dask-geopandas\", \"label\": \"dask-geopandas\", \"shape\": \"dot\", \"size\": 12.805743872151618, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/dask-geopandas/\\\" target=\\\"_blank\\\"\\u003edask-geopandas\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"datashader\", \"label\": \"datashader\", \"shape\": \"dot\", \"size\": 15.565221107694228, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/datashader/\\\" target=\\\"_blank\\\"\\u003edatashader\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"earthpy\", \"label\": \"earthpy\", \"shape\": \"dot\", \"size\": 13.046100845028802, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/earthpy/\\\" target=\\\"_blank\\\"\\u003eearthpy\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"eomaps\", \"label\": \"eomaps\", \"shape\": \"dot\", \"size\": 9.707359132080883, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/eomaps/\\\" target=\\\"_blank\\\"\\u003eeomaps\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"esda\", \"label\": \"esda\", \"shape\": \"dot\", \"size\": 15.409788683245186, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/esda/\\\" target=\\\"_blank\\\"\\u003eesda\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"fiona\", \"label\": \"fiona\", \"shape\": \"dot\", \"size\": 21.3132550647684, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/fiona/\\\" target=\\\"_blank\\\"\\u003efiona\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"folium\", \"label\": \"folium\", \"shape\": \"dot\", \"size\": 19.785794071589653, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/folium/\\\" target=\\\"_blank\\\"\\u003efolium\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geemap\", \"label\": \"geemap\", \"shape\": \"dot\", \"size\": 13.69631555889282, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geemap/\\\" target=\\\"_blank\\\"\\u003egeemap\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"gempy\", \"label\": \"gempy\", \"shape\": \"dot\", \"size\": 10.06204613772049, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/gempy/\\\" target=\\\"_blank\\\"\\u003egempy\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geoalchemy2\", \"label\": \"geoalchemy2\", \"shape\": \"dot\", \"size\": 18.904511146298233, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geoalchemy2/\\\" target=\\\"_blank\\\"\\u003egeoalchemy2\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geocube\", \"label\": \"geocube\", \"shape\": \"dot\", \"size\": 11.653292945382814, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geocube/\\\" target=\\\"_blank\\\"\\u003egeocube\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geographiclib\", \"label\": \"geographiclib\", \"shape\": \"dot\", \"size\": 21.705072944364918, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geographiclib/\\\" target=\\\"_blank\\\"\\u003egeographiclib\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geojson\", \"label\": \"geojson\", \"shape\": \"dot\", \"size\": 19.64332247705518, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geojson/\\\" target=\\\"_blank\\\"\\u003egeojson\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geopandas\", \"label\": \"geopandas\", \"shape\": \"dot\", \"size\": 21.198220202357135, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geopandas/\\\" target=\\\"_blank\\\"\\u003egeopandas\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geoplot\", \"label\": \"geoplot\", \"shape\": \"dot\", \"size\": 12.92351319630841, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geoplot/\\\" target=\\\"_blank\\\"\\u003egeoplot\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geopy\", \"label\": \"geopy\", \"shape\": \"dot\", \"size\": 22.115790138987858, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geopy/\\\" target=\\\"_blank\\\"\\u003egeopy\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geosnap\", \"label\": \"geosnap\", \"shape\": \"dot\", \"size\": 7.339850002884624, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geosnap/\\\" target=\\\"_blank\\\"\\u003egeosnap\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"geoviews\", \"label\": \"geoviews\", \"shape\": \"dot\", \"size\": 12.944162985854788, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/geoviews/\\\" target=\\\"_blank\\\"\\u003egeoviews\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"giddy\", \"label\": \"giddy\", \"shape\": \"dot\", \"size\": 14.532842910961282, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/giddy/\\\" target=\\\"_blank\\\"\\u003egiddy\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"h3\", \"label\": \"h3\", \"shape\": \"dot\", \"size\": 20.514509881825973, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/h3/\\\" target=\\\"_blank\\\"\\u003eh3\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"holoviews\", \"label\": \"holoviews\", \"shape\": \"diamond\", \"size\": 18.22647804886918, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/holoviews/\\\" target=\\\"_blank\\\"\\u003eholoviews\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"hvplot\", \"label\": \"hvplot\", \"shape\": \"dot\", \"size\": 16.98390655305699, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/hvplot/\\\" target=\\\"_blank\\\"\\u003ehvplot\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"inequality\", \"label\": \"inequality\", \"shape\": \"dot\", \"size\": 14.505935576704188, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/inequality/\\\" target=\\\"_blank\\\"\\u003einequality\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"keplergl\", \"label\": \"keplergl\", \"shape\": \"dot\", \"size\": 16.631958569117938, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/keplergl/\\\" target=\\\"_blank\\\"\\u003ekeplergl\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"laspy\", \"label\": \"laspy\", \"shape\": \"dot\", \"size\": 14.76274536605977, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/laspy/\\\" target=\\\"_blank\\\"\\u003elaspy\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"leafmap\", \"label\": \"leafmap\", \"shape\": \"dot\", \"size\": 11.713816080234498, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/leafmap/\\\" target=\\\"_blank\\\"\\u003eleafmap\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"legendgram\", \"label\": \"legendgram\", \"shape\": \"dot\", \"size\": 5.20945336562895, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/legendgram/\\\" target=\\\"_blank\\\"\\u003elegendgram\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"libpysal\", \"label\": \"libpysal\", \"shape\": \"dot\", \"size\": 15.873131661380361, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/libpysal/\\\" target=\\\"_blank\\\"\\u003elibpysal\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"mapclassify\", \"label\": \"mapclassify\", \"shape\": \"dot\", \"size\": 16.076773851798702, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/mapclassify/\\\" target=\\\"_blank\\\"\\u003emapclassify\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"matplotlib\", \"label\": \"matplotlib\", \"shape\": \"diamond\", \"size\": 24.765364564551245, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/matplotlib/\\\" target=\\\"_blank\\\"\\u003ematplotlib\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"mesa\", \"label\": \"mesa\", \"shape\": \"dot\", \"size\": 11.689561254285525, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/mesa/\\\" target=\\\"_blank\\\"\\u003emesa\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"mesa-geo\", \"label\": \"mesa-geo\", \"shape\": \"dot\", \"size\": 9.226412192788786, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/mesa-geo/\\\" target=\\\"_blank\\\"\\u003emesa-geo\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"mgwr\", \"label\": \"mgwr\", \"shape\": \"dot\", \"size\": 14.570033561381877, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/mgwr/\\\" target=\\\"_blank\\\"\\u003emgwr\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"momepy\", \"label\": \"momepy\", \"shape\": \"dot\", \"size\": 14.773602855614682, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/momepy/\\\" target=\\\"_blank\\\"\\u003emomepy\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"movingpandas\", \"label\": \"movingpandas\", \"shape\": \"dot\", \"size\": 11.50382573799575, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/movingpandas/\\\" target=\\\"_blank\\\"\\u003emovingpandas\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"netcdf4\", \"label\": \"netcdf4\", \"shape\": \"diamond\", \"size\": 20.09134757066518, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/netcdf4/\\\" target=\\\"_blank\\\"\\u003enetcdf4\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"networkx\", \"label\": \"networkx\", \"shape\": \"diamond\", \"size\": 24.289874589684295, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/networkx/\\\" target=\\\"_blank\\\"\\u003enetworkx\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"numba\", \"label\": \"numba\", \"shape\": \"diamond\", \"size\": 23.11124919795328, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/numba/\\\" target=\\\"_blank\\\"\\u003enumba\\u003c/a\\u003e\"}, {\"color\": null, \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"numpy\", \"label\": \"numpy\", \"shape\": \"star\", \"size\": 26.781823954457074, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/numpy/\\\" target=\\\"_blank\\\"\\u003enumpy\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"obspy\", \"label\": \"obspy\", \"shape\": \"dot\", \"size\": 16.267445088388126, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/obspy/\\\" target=\\\"_blank\\\"\\u003eobspy\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"osmnet\", \"label\": \"osmnet\", \"shape\": \"dot\", \"size\": 12.1999790076159, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/osmnet/\\\" target=\\\"_blank\\\"\\u003eosmnet\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"osmnx\", \"label\": \"osmnx\", \"shape\": \"dot\", \"size\": 16.0991628587215, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/osmnx/\\\" target=\\\"_blank\\\"\\u003eosmnx\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"owslib\", \"label\": \"owslib\", \"shape\": \"dot\", \"size\": 15.021066720163276, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/owslib/\\\" target=\\\"_blank\\\"\\u003eowslib\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pandana\", \"label\": \"pandana\", \"shape\": \"dot\", \"size\": 10.682116764950074, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pandana/\\\" target=\\\"_blank\\\"\\u003epandana\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pandas\", \"label\": \"pandas\", \"shape\": \"diamond\", \"size\": 26.401293568048963, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pandas/\\\" target=\\\"_blank\\\"\\u003epandas\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pandas-bokeh\", \"label\": \"pandas-bokeh\", \"shape\": \"dot\", \"size\": 13.669660180238552, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pandas-bokeh/\\\" target=\\\"_blank\\\"\\u003epandas-bokeh\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"plotly\", \"label\": \"plotly\", \"shape\": \"dot\", \"size\": 22.85351116373602, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/plotly/\\\" target=\\\"_blank\\\"\\u003eplotly\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pointpats\", \"label\": \"pointpats\", \"shape\": \"dot\", \"size\": 14.542910945969139, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pointpats/\\\" target=\\\"_blank\\\"\\u003epointpats\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"proplot\", \"label\": \"proplot\", \"shape\": \"dot\", \"size\": 10.777255315191923, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/proplot/\\\" target=\\\"_blank\\\"\\u003eproplot\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyarrow\", \"label\": \"pyarrow\", \"shape\": \"diamond\", \"size\": 25.62841436172497, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyarrow/\\\" target=\\\"_blank\\\"\\u003epyarrow\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pycrs\", \"label\": \"pycrs\", \"shape\": \"dot\", \"size\": 14.043625433588973, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pycrs/\\\" target=\\\"_blank\\\"\\u003epycrs\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pydeck\", \"label\": \"pydeck\", \"shape\": \"diamond\", \"size\": 19.687597806596486, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pydeck/\\\" target=\\\"_blank\\\"\\u003epydeck\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyepsg\", \"label\": \"pyepsg\", \"shape\": \"dot\", \"size\": 16.034992351893514, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyepsg/\\\" target=\\\"_blank\\\"\\u003epyepsg\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pygeos\", \"label\": \"pygeos\", \"shape\": \"dot\", \"size\": 17.38759666228, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pygeos/\\\" target=\\\"_blank\\\"\\u003epygeos\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pygmt\", \"label\": \"pygmt\", \"shape\": \"dot\", \"size\": 10.458406613236532, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pygmt/\\\" target=\\\"_blank\\\"\\u003epygmt\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyinterpolate\", \"label\": \"pyinterpolate\", \"shape\": \"dot\", \"size\": 6.870364719583405, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyinterpolate/\\\" target=\\\"_blank\\\"\\u003epyinterpolate\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyntcloud\", \"label\": \"pyntcloud\", \"shape\": \"dot\", \"size\": 13.029632328044137, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyntcloud/\\\" target=\\\"_blank\\\"\\u003epyntcloud\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyogrio\", \"label\": \"pyogrio\", \"shape\": \"dot\", \"size\": 10.161131882984307, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyogrio/\\\" target=\\\"_blank\\\"\\u003epyogrio\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyproj\", \"label\": \"pyproj\", \"shape\": \"dot\", \"size\": 22.045555379042, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyproj/\\\" target=\\\"_blank\\\"\\u003epyproj\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyrosm\", \"label\": \"pyrosm\", \"shape\": \"dot\", \"size\": 12.653292945382814, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyrosm/\\\" target=\\\"_blank\\\"\\u003epyrosm\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pysal\", \"label\": \"pysal\", \"shape\": \"dot\", \"size\": 14.765182482891348, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pysal/\\\" target=\\\"_blank\\\"\\u003epysal\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyshp\", \"label\": \"pyshp\", \"shape\": \"dot\", \"size\": 18.44410495089963, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyshp/\\\" target=\\\"_blank\\\"\\u003epyshp\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"python-igraph\", \"label\": \"python-igraph\", \"shape\": \"diamond\", \"size\": 17.883615805010134, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/python-igraph/\\\" target=\\\"_blank\\\"\\u003epython-igraph\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"pyvista\", \"label\": \"pyvista\", \"shape\": \"dot\", \"size\": 17.18748739684518, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/pyvista/\\\" target=\\\"_blank\\\"\\u003epyvista\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"r5py\", \"label\": \"r5py\", \"shape\": \"dot\", \"size\": 4.459431618637297, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/r5py/\\\" target=\\\"_blank\\\"\\u003er5py\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"rtree\", \"label\": \"rtree\", \"shape\": \"dot\", \"size\": 19.89359038939168, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/rtree/\\\" target=\\\"_blank\\\"\\u003ertree\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"scikit-image\", \"label\": \"scikit-image\", \"shape\": \"dot\", \"size\": 23.08623100065122, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/scikit-image/\\\" target=\\\"_blank\\\"\\u003escikit-image\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"scikit-mobility\", \"label\": \"scikit-mobility\", \"shape\": \"dot\", \"size\": 12.91513244895065, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/scikit-mobility/\\\" target=\\\"_blank\\\"\\u003escikit-mobility\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"scipy\", \"label\": \"scipy\", \"shape\": \"diamond\", \"size\": 25.359237959188643, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/scipy/\\\" target=\\\"_blank\\\"\\u003escipy\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"seaborn\", \"label\": \"seaborn\", \"shape\": \"diamond\", \"size\": 23.143325132257047, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/seaborn/\\\" target=\\\"_blank\\\"\\u003eseaborn\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"segregation\", \"label\": \"segregation\", \"shape\": \"dot\", \"size\": 14.586312047782064, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/segregation/\\\" target=\\\"_blank\\\"\\u003esegregation\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"shapely\", \"label\": \"shapely\", \"shape\": \"dot\", \"size\": 22.75646185105092, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/shapely/\\\" target=\\\"_blank\\\"\\u003eshapely\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"snkit\", \"label\": \"snkit\", \"shape\": \"dot\", \"size\": 4.857980995127572, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/snkit/\\\" target=\\\"_blank\\\"\\u003esnkit\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spaghetti\", \"label\": \"spaghetti\", \"shape\": \"dot\", \"size\": 14.506927375344873, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spaghetti/\\\" target=\\\"_blank\\\"\\u003espaghetti\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spglm\", \"label\": \"spglm\", \"shape\": \"dot\", \"size\": 14.563851677082729, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spglm/\\\" target=\\\"_blank\\\"\\u003espglm\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spint\", \"label\": \"spint\", \"shape\": \"dot\", \"size\": 14.501028551620447, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spint/\\\" target=\\\"_blank\\\"\\u003espint\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"splot\", \"label\": \"splot\", \"shape\": \"dot\", \"size\": 14.534667644592401, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/splot/\\\" target=\\\"_blank\\\"\\u003esplot\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spopt\", \"label\": \"spopt\", \"shape\": \"dot\", \"size\": 14.500966330282983, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spopt/\\\" target=\\\"_blank\\\"\\u003espopt\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spreg\", \"label\": \"spreg\", \"shape\": \"dot\", \"size\": 14.584551518307705, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spreg/\\\" target=\\\"_blank\\\"\\u003espreg\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"spvcm\", \"label\": \"spvcm\", \"shape\": \"dot\", \"size\": 14.501774998430989, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/spvcm/\\\" target=\\\"_blank\\\"\\u003espvcm\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"statsmodels\", \"label\": \"statsmodels\", \"shape\": \"dot\", \"size\": 23.24661956292575, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/statsmodels/\\\" target=\\\"_blank\\\"\\u003estatsmodels\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"tobler\", \"label\": \"tobler\", \"shape\": \"dot\", \"size\": 14.597703418809518, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/tobler/\\\" target=\\\"_blank\\\"\\u003etobler\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"trackintel\", \"label\": \"trackintel\", \"shape\": \"dot\", \"size\": 8.447083226209653, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/trackintel/\\\" target=\\\"_blank\\\"\\u003etrackintel\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"transbigdata\", \"label\": \"transbigdata\", \"shape\": \"dot\", \"size\": 9.179909090014934, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/transbigdata/\\\" target=\\\"_blank\\\"\\u003etransbigdata\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"urbanaccess\", \"label\": \"urbanaccess\", \"shape\": \"dot\", \"size\": 7.948367231584678, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/urbanaccess/\\\" target=\\\"_blank\\\"\\u003eurbanaccess\\u003c/a\\u003e\"}, {\"color\": \"#E19283\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"urbansim\", \"label\": \"urbansim\", \"shape\": \"dot\", \"size\": 7.906890595608519, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/urbansim/\\\" target=\\\"_blank\\\"\\u003eurbansim\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"vaex\", \"label\": \"vaex\", \"shape\": \"diamond\", \"size\": 16.10031328415005, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/vaex/\\\" target=\\\"_blank\\\"\\u003evaex\\u003c/a\\u003e\"}, {\"color\": \"#D19336\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"vizent\", \"label\": \"vizent\", \"shape\": \"dot\", \"size\": 3.584962500721156, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/vizent/\\\" target=\\\"_blank\\\"\\u003evizent\\u003c/a\\u003e\"}, {\"color\": \"#E7C7BE\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"whitebox\", \"label\": \"whitebox\", \"shape\": \"dot\", \"size\": 13.833087738422009, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/whitebox/\\\" target=\\\"_blank\\\"\\u003ewhitebox\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"face\": \"verdana\", \"size\": 24}, \"id\": \"zarr\", \"label\": \"zarr\", \"shape\": \"dot\", \"size\": 18.84498460260948, \"title\": \"\\u003ca href=\\\"https://pypi.org/project/zarr/\\\" target=\\\"_blank\\\"\\u003ezarr\\u003c/a\\u003e\"}, {\"color\": \"#8C1B4C\", \"font\": {\"color\": \"white\", \"face\": \"verdana\", \"size\": 30}, \"group\": \"core / data structures\", \"id\": 0, \"label\": \"core / data structures\", \"physics\": false, \"shape\": \"box\", \"size\": 150, \"widthConstraint\": 300, \"x\": -1900, \"y\": \"200px\"}, {\"color\": \"#D19336\", \"font\": {\"color\": \"white\", \"face\": \"verdana\", \"size\": 30}, \"group\": \"visualization\", \"id\": 1, \"label\": \"visualization\", \"physics\": false, \"shape\": \"box\", \"size\": 150, \"widthConstraint\": 300, \"x\": -1900, \"y\": \"280px\"}, {\"color\": \"#E19283\", \"font\": {\"color\": \"white\", \"face\": \"verdana\", \"size\": 30}, \"group\": \"analysis / modelling\", \"id\": 2, \"label\": \"analysis / modelling\", \"physics\": false, \"shape\": \"box\", \"size\": 150, \"widthConstraint\": 300, \"x\": -1900, \"y\": \"360px\"}, {\"color\": \"#E7C7BE\", \"font\": {\"color\": \"white\", \"face\": \"verdana\", \"size\": 30}, \"group\": \"data extraction / processing\", \"id\": 3, \"label\": \"data extraction / processing\", \"physics\": false, \"shape\": \"box\", \"size\": 150, \"widthConstraint\": 300, \"x\": -1900, \"y\": \"440px\"}, {\"color\": \"grey\", \"font\": {\"face\": \"verdana\", \"size\": 30}, \"id\": 4, \"label\": \"Python GIS library\", \"physics\": false, \"shape\": \"dot\", \"size\": 20, \"x\": -1900, \"y\": \"520px\"}, {\"color\": \"grey\", \"font\": {\"face\": \"verdana\", \"size\": 30}, \"id\": 5, \"label\": \"Fundamental underlying\\nC/C++ library\", \"physics\": false, \"shape\": \"star\", \"size\": 20, \"x\": -1900, \"y\": \"620.0px\"}, {\"color\": \"grey\", \"font\": {\"face\": \"verdana\", \"size\": 30}, \"id\": 6, \"label\": \"Generic library\\nnot specific to GIS\", \"physics\": false, \"shape\": \"diamond\", \"size\": 20, \"x\": -1900, \"y\": \"752.0px\"}]);\n",
       "        edges = new vis.DataSet([{\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"access\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"astropy\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"astropy\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"astropy\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"basemap\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"basemap\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"basemap\", \"to\": \"pyproj\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"basemap\", \"to\": \"pyshp\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"cudf\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"cudf\", \"to\": \"pyarrow\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"cuspatial\", \"to\": \"cudf\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"cuspatial\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"dask-geopandas\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"earthpy\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"earthpy\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"earthpy\", \"to\": \"scikit-image\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"eomaps\", \"to\": \"cartopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"eomaps\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"eomaps\", \"to\": \"mapclassify\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"eomaps\", \"to\": \"pyepsg\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"esda\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"fiona\", \"to\": \"GDAL\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"folium\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"geojson\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geemap\", \"to\": \"pycrs\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"networkx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"pyvista\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"scikit-image\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"gempy\", \"to\": \"seaborn\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geoalchemy2\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geocube\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"fiona\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"folium\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"geopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"pygeos\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"pyproj\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"rtree\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geopandas\", \"to\": \"shapely\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geoplot\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geosnap\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"geosnap\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"giddy\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"h3\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"h3\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"bokeh\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"datashader\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"geoviews\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"holoviews\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"hvplot\", \"to\": \"plotly\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"inequality\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"keplergl\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"keplergl\", \"to\": \"pydeck\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"laspy\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"leafmap\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"leafmap\", \"to\": \"keplergl\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"leafmap\", \"to\": \"laspy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"legendgram\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"libpysal\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"libpysal\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"mapclassify\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"mapclassify\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"mesa-geo\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"mesa-geo\", \"to\": \"mesa\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"mgwr\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"momepy\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"movingpandas\", \"to\": \"bokeh\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"movingpandas\", \"to\": \"cartopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"movingpandas\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"movingpandas\", \"to\": \"geoviews\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"movingpandas\", \"to\": \"hvplot\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"obspy\", \"to\": \"cartopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"obspy\", \"to\": \"geographiclib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"obspy\", \"to\": \"pyproj\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"obspy\", \"to\": \"pyshp\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"obspy\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"osmnet\", \"to\": \"pandana\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"osmnx\", \"to\": \"folium\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"osmnx\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"osmnx\", \"to\": \"geopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"osmnx\", \"to\": \"networkx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"owslib\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"owslib\", \"to\": \"pyproj\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pandana\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pandas\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pandas\", \"to\": \"pyarrow\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pandas-bokeh\", \"to\": \"bokeh\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pandas-bokeh\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"PDAL\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"plotly\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"plotly\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pointpats\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"proplot\", \"to\": \"cartopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"proplot\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pygmt\", \"to\": \"netcdf4\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pygmt\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyinterpolate\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyinterpolate\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyntcloud\", \"to\": \"laspy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyntcloud\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyntcloud\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyntcloud\", \"to\": \"pyvista\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyntcloud\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyogrio\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyogrio\", \"to\": \"pygeos\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyproj\", \"to\": \"PROJ\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"networkx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"osmnx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"pandana\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"python-igraph\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pyrosm\", \"to\": \"vaex\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pysal\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"pysal\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"r5py\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"scikit-mobility\", \"to\": \"folium\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"scikit-mobility\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"scikit-mobility\", \"to\": \"python-igraph\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"scipy\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"seaborn\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"segregation\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"shapely\", \"to\": \"GEOS\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"shapely\", \"to\": \"numpy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"snkit\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"snkit\", \"to\": \"networkx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spaghetti\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spglm\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spint\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"splot\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spopt\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spopt\", \"to\": \"spaghetti\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spreg\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"spvcm\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"statsmodels\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"statsmodels\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"tobler\", \"to\": \"pysal\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"trackintel\", \"to\": \"geoalchemy2\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"trackintel\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"trackintel\", \"to\": \"osmnx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"transbigdata\", \"to\": \"geopandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"transbigdata\", \"to\": \"keplergl\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"transbigdata\", \"to\": \"matplotlib\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"transbigdata\", \"to\": \"networkx\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"transbigdata\", \"to\": \"seaborn\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbanaccess\", \"to\": \"osmnet\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbanaccess\", \"to\": \"pandana\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbansim\", \"to\": \"pandana\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbansim\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbansim\", \"to\": \"scipy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"urbansim\", \"to\": \"statsmodels\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"vaex\", \"to\": \"pandas\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"vizent\", \"to\": \"cartopy\"}, {\"arrows\": \"to\", \"color\": \"grey\", \"from\": \"vizent\", \"to\": \"matplotlib\"}]);\n",
       "\n",
       "        // adding nodes and edges to the graph\n",
       "        data = {nodes: nodes, edges: edges};\n",
       "\n",
       "        var options = {\n",
       "    \"configure\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"edges\": {\n",
       "        \"color\": {\n",
       "            \"inherit\": true\n",
       "        },\n",
       "        \"smooth\": {\n",
       "            \"enabled\": true,\n",
       "            \"type\": \"dynamic\"\n",
       "        }\n",
       "    },\n",
       "    \"interaction\": {\n",
       "        \"dragNodes\": true,\n",
       "        \"hideEdgesOnDrag\": false,\n",
       "        \"hideNodesOnDrag\": false\n",
       "    },\n",
       "    \"physics\": {\n",
       "        \"enabled\": true,\n",
       "        \"forceAtlas2Based\": {\n",
       "            \"avoidOverlap\": 0.3,\n",
       "            \"centralGravity\": 0.02,\n",
       "            \"damping\": 0.4,\n",
       "            \"gravitationalConstant\": -50,\n",
       "            \"springConstant\": 0.08,\n",
       "            \"springLength\": 100\n",
       "        },\n",
       "        \"solver\": \"forceAtlas2Based\",\n",
       "        \"stabilization\": {\n",
       "            \"enabled\": true,\n",
       "            \"fit\": true,\n",
       "            \"iterations\": 1000,\n",
       "            \"onlyDynamicEdges\": false,\n",
       "            \"updateInterval\": 50\n",
       "        }\n",
       "    }\n",
       "};\n",
       "        \n",
       "        \n",
       "\n",
       "        \n",
       "\n",
       "        network = new vis.Network(container, data, options);\n",
       "\t \n",
       "        \n",
       "        // make a custom popup\n",
       "        var popup = document.createElement(\"div\");\n",
       "        popup.className = 'popup';\n",
       "        popupTimeout = null;\n",
       "        popup.addEventListener('mouseover', function () {\n",
       "            console.log(popup)\n",
       "            if (popupTimeout !== null) {\n",
       "                clearTimeout(popupTimeout);\n",
       "                popupTimeout = null;\n",
       "            }\n",
       "        });\n",
       "        popup.addEventListener('mouseout', function () {\n",
       "            if (popupTimeout === null) {\n",
       "                hidePopup();\n",
       "            }\n",
       "        });\n",
       "        container.appendChild(popup);\n",
       "\n",
       "\n",
       "        // use the popup event to show\n",
       "        network.on(\"showPopup\", function (params) {\n",
       "            showPopup(params);\n",
       "        });\n",
       "\n",
       "        // use the hide event to hide it\n",
       "        network.on(\"hidePopup\", function (params) {\n",
       "            hidePopup();\n",
       "        });\n",
       "\n",
       "\n",
       "        // hiding the popup through css\n",
       "        function hidePopup() {\n",
       "            popupTimeout = setTimeout(function () { popup.style.display = 'none'; }, 500);\n",
       "        }\n",
       "\n",
       "        // showing the popup\n",
       "        function showPopup(nodeId) {\n",
       "\n",
       "            // get the data from the vis.DataSet\n",
       "            var nodeData = nodes.get(nodeId);\n",
       "            // get the position of the node\n",
       "            var posCanvas = network.getPositions([nodeId])[nodeId];\n",
       "\n",
       "            if (!nodeData) {\n",
       "                var edgeData = edges.get(nodeId);\n",
       "                var poses = network.getPositions([edgeData.from, edgeData.to]);\n",
       "                var middle_x = (poses[edgeData.to].x - poses[edgeData.from].x) * 0.5;\n",
       "                var middle_y = (poses[edgeData.to].y - poses[edgeData.from].y) * 0.5;\n",
       "                posCanvas = poses[edgeData.from];\n",
       "                posCanvas.x = posCanvas.x + middle_x;\n",
       "                posCanvas.y = posCanvas.y + middle_y;\n",
       "\n",
       "                popup.innerHTML = edgeData.title;\n",
       "            } else {\n",
       "                popup.innerHTML = nodeData.title;\n",
       "                // get the bounding box of the node\n",
       "                var boundingBox = network.getBoundingBox(nodeId);\n",
       "                posCanvas.x = posCanvas.x + 0.5 * (boundingBox.right - boundingBox.left);\n",
       "                posCanvas.y = posCanvas.y + 0.5 * (boundingBox.top - boundingBox.bottom);\n",
       "            };\n",
       "\n",
       "            // convert coordinates to the DOM space\n",
       "            var posDOM = network.canvasToDOM(posCanvas);\n",
       "\n",
       "            // Give it an offset\n",
       "            posDOM.x += 10;\n",
       "            posDOM.y -= 20;\n",
       "\n",
       "            // show and place the tooltip.\n",
       "            popup.style.display = 'block';\n",
       "            popup.style.top = posDOM.y + 'px';\n",
       "            popup.style.left = posDOM.x + 'px';\n",
       "        }\n",
       "        \n",
       "\n",
       "\n",
       "        \n",
       "        network.on(\"stabilizationProgress\", function(params) {\n",
       "      \t\tdocument.getElementById('loadingBar').removeAttribute(\"style\");\n",
       "\t        var maxWidth = 496;\n",
       "\t        var minWidth = 20;\n",
       "\t        var widthFactor = params.iterations/params.total;\n",
       "\t        var width = Math.max(minWidth,maxWidth * widthFactor);\n",
       "\n",
       "\t        document.getElementById('bar').style.width = width + 'px';\n",
       "\t        document.getElementById('text').innerHTML = Math.round(widthFactor*100) + '%';\n",
       "\t    });\n",
       "\t    network.once(\"stabilizationIterationsDone\", function() {\n",
       "\t        document.getElementById('text').innerHTML = '100%';\n",
       "\t        document.getElementById('bar').style.width = '496px';\n",
       "\t        document.getElementById('loadingBar').style.opacity = 0;\n",
       "\t        // really clean the dom element\n",
       "\t        setTimeout(function () {document.getElementById('loadingBar').style.display = 'none';}, 500);\n",
       "\t    });\n",
       "        \n",
       "\n",
       "        return network;\n",
       "\n",
       "    }\n",
       "\n",
       "    drawGraph();\n",
       "\n",
       "</script>\n",
       "</body>\n",
       "</html>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initialize\n",
    "e = Ecosystem(plot_type=\"vector+generic\", log=False)\n",
    "\n",
    "# Prepare the network and plot it\n",
    "net = e.prepare_net()\n",
    "net.show()"
   ]
  }
 ],
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  "execution": {
   "timeout": 360
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "pygments_lexer": "ipython3",
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