An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
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A modular geospatial engine written in JavaScript and TypeScript
Blender addons to make the bridge between Blender and geographic data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
😎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.
Tools for editing Shapefile, GeoJSON, TopoJSON and CSV files
🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Mapnik is an open source toolkit for developing mapping applications
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
Rasterio reads and writes geospatial raster datasets
A fast, free and open-source GIS in pure Rust.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
The Swift Geometry Engine.
Fiona reads and writes geographic data files
GRASS - free and open-source geospatial processing engine
Types and utilities for working with 2d geometry in Golang
Collection of georeferenced boundaries of world countries and cultural regions for use in mapping historical data on global or continental scale
WhirlyGlobe Development
Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial operations on the data like searching for data within specified regions or within a specified distance of a point of interest.
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
A library provides spatial data and geometric algorithms