All tools¶

This page lists all open source Python GIS and Earth Observation libraries categorized into core (data structures), data processing, analysis and visualization. If you see any missing Python tools, please open a PR (see instructions). Tools are sorted alphabetically under each category. The linkages section shows how the tools are connected to the broader Python ecosystem.

Tables below list relevant information about the libraries, including:

links to the Homepage of the package (redirects after clicking the House character)
short Info (description) of the package: You can see the desciprtion by holding your mouse on top of the ⓘ character for a second
License
Latest PyPi and conda-forge version of the package
Number of downloads from PyPi or conda-forge
Latest release date

Libraries¶

from pygieons import Ecosystem

# Initialize
e = Ecosystem(log=False)

# Prepare data enough wait time between pypistat calls
e.prepare_data(sleep_time=1)

# Prepare the table and plot it
e.prepare_table().show()

**Analysis / modelling** (count=40)
Name	Homepage	Info	License	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
access	🏠	ⓘ		28,207
esda	🏠	ⓘ		47,209
geosnap	🏠	ⓘ		105
giddy	🏠	ⓘ		25,059
gstools	🏠	ⓘ		1,668
inequality	🏠	ⓘ		24,709
mesa	🏠	ⓘ		3,109
mesa-geo	🏠	ⓘ	NA	592	NA	NA	NA
mgwr	🏠	ⓘ		25,718
momepy	🏠	ⓘ		29,218
movingpandas	🏠	ⓘ		3,924
obspy	🏠	ⓘ		85,846
pandana	🏠	ⓘ		1,591
pointpats	🏠	ⓘ		25,249
pyinterpolate	🏠	ⓘ	NA	108	NA	NA	NA
pykrige	🏠	ⓘ		17,754
pysal	🏠	ⓘ		29,262
pysheds	🏠	ⓘ		925
pyspatialml	🏠	ⓘ	NA	78	NA	NA	NA
r5py	🏠	ⓘ		20
rasterstats	🏠	ⓘ		61,113
richdem	🏠	ⓘ		2,187
scikit-learn	🏠	ⓘ		31,705,557
scikit-mobility	🏠	ⓘ		6,931
segregation	🏠	ⓘ		26,098
spaghetti	🏠	ⓘ		24,763
spglm	🏠	ⓘ		25,633
spint	🏠	ⓘ		24,632
splot	🏠	ⓘ		25,094
spopt	🏠	ⓘ		24,649
spreg	🏠	ⓘ		25,938
spvcm	🏠	ⓘ		24,655
spyndex	🏠	ⓘ		287
statsmodels	🏠	ⓘ		9,002,747
tobler	🏠	ⓘ		26,215
trackintel	🏠	ⓘ	NA	318	NA	NA	NA
transbigdata	🏠	ⓘ		618
urbanaccess	🏠	ⓘ		284
urbansim	🏠	ⓘ		212
xarray-spatial	🏠	ⓘ		1,843

**Core / data structures** (count=41)
Name	Homepage	Info	License	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
GDAL	🏠	ⓘ		170,619
GEOS	🏠	ⓘ		47,036
PDAL	🏠	ⓘ		2,265
PROJ	🏠	ⓘ		8,082
affine	🏠	ⓘ		669,468
cudf	🏠	ⓘ	NA	1,724	NA	NA	NA
cuspatial	🏠	ⓘ	NA	18	NA	NA	NA
dask	🏠	ⓘ		8,500,731
dask-geopandas	🏠	ⓘ		7,216
fiona	🏠	ⓘ		2,601,979
geoalchemy2	🏠	ⓘ		486,962
geographiclib	🏠	ⓘ		3,333,566
geojson	🏠	ⓘ		803,620
geopandas	🏠	ⓘ		2,419,419
iris	🏠	ⓘ		948
laspy	🏠	ⓘ		29,068
libpysal	🏠	ⓘ		61,872
netcdf4	🏠	ⓘ		1,093,537
networkx	🏠	ⓘ		19,752,167
numba	🏠	ⓘ		8,239,325
numpy	🏠	ⓘ		116,262,087
pandas	🏠	ⓘ		89,653,368
pyarrow	🏠	ⓘ		53,517,679
pycrs	🏠	ⓘ		16,210
pyepsg	🏠	ⓘ		66,895
pygeos	🏠	ⓘ		170,032
pyogrio	🏠	ⓘ		1,440
pyproj	🏠	ⓘ		4,304,378
pyshp	🏠	ⓘ		353,464
python-igraph	🏠	ⓘ		241,604
rasterio	🏠	ⓘ		744,408
rio-cogeo	🏠	ⓘ		13,656
rioxarray	🏠	ⓘ		38,468
rtree	🏠	ⓘ		1,003,658
sarpy	🏠	ⓘ		911
sarsen	🏠	ⓘ		40
scipy	🏠	ⓘ		41,967,883
shapely	🏠	ⓘ		7,024,329
vaex	🏠	ⓘ		68,690
xarray	🏠	ⓘ		1,626,657
zarr	🏠	ⓘ		472,431

**Data extraction / processing** (count=34)
Name	Homepage	Info	License	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
astropy	🏠	ⓘ		599,153
earthengine-api	🏠	ⓘ		32,896
easystac	🏠	ⓘ		87
eemont	🏠	ⓘ		598
eoreader	🏠	ⓘ		434
geocube	🏠	ⓘ		3,300
geopy	🏠	ⓘ		4,768,246
h3	🏠	ⓘ		1,535,668
lidar	🏠	ⓘ		279
odc-stac	🏠	ⓘ		849
osmnet	🏠	ⓘ		4,732
osmnx	🏠	ⓘ		69,661
owslib	🏠	ⓘ		36,740
planetary-computer	🏠	ⓘ		2,874
pymap3d	🏠	ⓘ		43,146
pyntcloud	🏠	ⓘ		8,379
pyrosar	🏠	ⓘ		478
pyrosm	🏠	ⓘ		5,930
pystac	🏠	ⓘ		31,727
pystac-client	🏠	ⓘ		9,996
radiant-mlhub	🏠	ⓘ		6,902
rio-hist	🏠	ⓘ	NA	168	NA	NA	NA
rio-mucho	🏠	ⓘ		8,470
rio-tiler	🏠	ⓘ		8,373
salem	🏠	ⓘ		4,972
satpy	🏠	ⓘ		3,841
scikit-image	🏠	ⓘ		7,747,610
sentinelsat	🏠	ⓘ		12,338
snkit	🏠	ⓘ	NA	24	NA	NA	NA
stackstac	🏠	ⓘ		1,142
verde	🏠	ⓘ		729
whitebox	🏠	ⓘ		14,045
xarray-sentinel	🏠	ⓘ		70
xyzservices	🏠	ⓘ		164,884

**Visualization** (count=30)
Name	Homepage	Info	License	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
basemap	🏠	ⓘ		17,906
bokeh	🏠	ⓘ		2,767,641
cartopy	🏠	ⓘ		125,978
contextily	🏠	ⓘ		64,948
datashader	🏠	ⓘ		44,694
earthpy	🏠	ⓘ		7,940
eomaps	🏠	ⓘ		937
folium	🏠	ⓘ		912,796
geemap	🏠	ⓘ		12,921
gempy	🏠	ⓘ		926
geoplot	🏠	ⓘ		7,729
geoviews	🏠	ⓘ		8,101
holoviews	🏠	ⓘ		313,507
hvplot	🏠	ⓘ		127,748
keplergl	🏠	ⓘ		98,317
leafmap	🏠	ⓘ		3,376
legendgram	🏠	ⓘ		34
mapclassify	🏠	ⓘ		67,054
matplotlib	🏠	ⓘ		27,605,056
pandas-bokeh	🏠	ⓘ	NA	12,766	NA	NA	NA
plotly	🏠	ⓘ		7,566,852
proplot	🏠	ⓘ		1,574
pydeck	🏠	ⓘ		810,133
pygmt	🏠	ⓘ		1,498
pyvista	🏠	ⓘ		142,372
pyvista-xarray	🏠	ⓘ	NA	362	NA	NA	NA
rio-color	🏠	ⓘ		8,260
seaborn	🏠	ⓘ		8,414,513
vizent	🏠	ⓘ	NA	11	NA	NA	NA
xarray_leaflet	🏠	ⓘ		848

Linkages¶

# Initialize
e = Ecosystem(log=False)

# Prepare the network and plot it
e.prepare_net().show()

Python OS Ecosystem for GIS and Earth Observation Vector libraries