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An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
Blender addons to make the bridge between Blender and geographic data
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
A light and plugable JavaScript library for integrated 2D/3D maps.
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.
Google Earth Enterprise - Open Source
Rasterio reads and writes geospatial raster datasets
JavaScript library to transform coordinates from one coordinate system to another, including datum transformations
🎉 Vue 3.x components for CesiumJS.
Rust geospatial primitives & algorithms
Satellite imagery for dummies.
3D Maps & Terrain SDK (C++)
The Swift Geometry Engine.
3D geographic visualization library
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
Fiona reads and writes geographic data files
An advanced geospatial data analysis platform
Types and utilities for working with 2d geometry in Golang
Package geom implements efficient geometry types for geospatial applications.
An easy-to-use mapping library for use in web and desktop applications
WhirlyGlobe Development
Transform, query, and download geospatial data on the web.
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
A library provides spatial data and geometric algorithms
Chat2Geo delivers a ChatGPT-like experience tailored for remote-sensing-based geospatial analysis. Its mission is to democratize geospatial insights at scale by harnessing cutting-edge AI technologies, making advanced analysis accessible to everyone.