License
BSD-3-Clause
20 tools
20 tools found

Cartopy
Python library for map projections and cartographic visualization built on matplotlib.
GeoDjango
Django's geographic web framework for spatial models, queries, and GIS web apps.
MapLibre GL JS
Open-source TypeScript library for publishing maps on your website. Fast vector tile rendering.
Alternative to Mapbox, Google Maps Platform, Bing Maps

GeoPandas
Python library extending pandas to allow spatial operations on geometric types.
Alternative to ArcGIS

maptalks.js
Extensible JavaScript library for integrated 2D and 3D mapping.

Protomaps
Free, open-source map of the world deployable as a single static file (PMTiles).
Alternative to Mapbox, Google Maps Platform

Mapv
Canvas-based JavaScript library for visualizing large geospatial point, line, and polygon datasets.

Rasterio
Python library for reading and writing geospatial raster datasets using GDAL.
Alternative to Google Earth Engine

Fiona
Pythonic file I/O for geospatial vector data, wrapping GDAL/OGR.
MovingPandas
Python library for exploration and analysis of movement trajectories, built on GeoPandas.

NetTopologySuite
C# port of the JTS Topology Suite for vector geometry and spatial predicates.

Shapely
Python library for manipulation and analysis of planar geometric objects.

OpenMapTiles
Open vector tile schema and Docker toolchain for self-hosted OSM basemaps.
Alternative to Mapbox, Google Maps Platform

PDAL
Point cloud data abstraction library and CLI for translating, filtering, and processing LiDAR.

rio-tiler
Python library for generating map tiles and reading raster data from GDAL-supported sources.
OWSLib
Python toolkit for clients of OGC and OGC API web services.
PySAL
Python Spatial Analysis Library: an ecosystem of packages for spatial statistics and econometrics.
rasterstats
Summarize raster data over vector zones, with Python API and rio CLI subcommands.

rio-cogeo
Rasterio plugin for creating and validating Cloud-Optimized GeoTIFFs.

Verde
Python library for processing and gridding spatial data, with a scikit-learn style API.