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Awesome List
Long list of geospatial tools and resources
GitHub stars and default-branch commits for sacridini/Awesome-Geospatial.
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Promote a GitHub repo at the top of Awesome repository list views for 7 days.
NumPy & SciPy for GPU
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
Python Data. Leaflet.js Maps.
Open Source Routing Engine for OpenStreetMap
Geocoding library for Python.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
GeoAI: Artificial Intelligence for Geospatial Data
An open source library and framework for deep learning on satellite and aerial imagery.
MovingPandas - a Python library for movement data exploration and analysis
Earth observation processing framework for machine learning in Python
Build your own Raster dynamic map tile services
Specification for storing geospatial vector data (point, line, polygon) in Parquet
Search and download Copernicus Sentinel satellite images
Spatial analysis algorithms for xarray implemented in numba
Computer Vision in Python
NetworKit is a growing open-source toolkit for large-scale network analysis.
Kriging Toolkit for Python
Miami InSAR time-series software in Python
CUDA-accelerated GIS and spatiotemporal algorithms
A Claude/Codex skill for geospatial data
Processing and gridding spatial data, machine-learning style
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
framework for large-scale SAR satellite data processing
Parallel GeoPandas with Dask
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
Summary statistics of geospatial raster datasets based on vector geometries.
Platform for building statistical models of cities and regions
A package built to support working with spatial data using open source python
A single-node analytical database engine with geospatial as a first-class citizen
Python and Java bindings for the OpenSky Network REST API
Python library for working with any SpatioTemporal Asset Catalog (STAC)
A python package that extends Google Earth Engine.
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster.
Earth Observation Data Access Gateway
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Pandas Network Analysis by UrbanSim: fast accessibility metrics and shortest paths, using contraction hierarchies :world_map:
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
Wraps GEOS geometry functions in numpy ufuncs.
Notebooks and libraries for spatial/geo Python explorations
An Xarray extension for Google Earth Engine
A library to create interactive maps of geographical datasets
dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Fast and accurate raster zonal statistics
High-performance Terrain and Hydrology Analysis
Spatial data processing for geomodeling
NextGIS Web is an open-source Web GIS server for geospatial data management, web map publishing, and QGIS-centered collaborative workflows.
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments