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Awesome List
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
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WebGL2 powered visualization framework
Blender addons to make the bridge between Blender and geographic data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Python tools for geographic data
Geocoding library for Python.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Google Earth Enterprise - Open Source
Rasterio reads and writes geospatial raster datasets
Satellite imagery for dummies.
MovingPandas - a Python library for movement data exploration and analysis
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
Fiona reads and writes geographic data files
Python interface to PROJ (cartographic projections and coordinate transformations library)
Spatial analysis algorithms for xarray implemented in numba
Computer Vision in Python
A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:
Processing and gridding spatial data, machine-learning style
framework for large-scale SAR satellite data processing
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
WhiteboxTools Python Frontend
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB
dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
ArcGIS Python Toolbox for WhiteboxTools
A Python package for delineating nested surface depressions from digital elevation data.
Read and write rasters in parallel using Rasterio and Dask
Python module to access the OpenCage geocoding API
Read images to numpy arrays
Yet Another Time Series Model
Modular Framework for ML Inference on Geospatial Data