Open Source Software

A Rust-powered vector tile engine for R and Python, creating efficient .pmtiles files from various data sources.

A unified Python toolkit for obtaining embeddings from any Remote Sensing Foundation Model with a single line of code.

GeoPandas-AI turns GeoDataFrames into a conversational, intelligent assistant for geospatial data analysis.

A Python library for high-accuracy water segmentation in satellite and aerial imagery using deep learning and spectral indices.

Free, open-source drone flight log analyzer for DJI and Litchi.

geOrchestra is a free, modular, interoperable, and secure Spatial Data Infrastructure (SDI) software.

A universal Python package for regridding geospatial data, supporting various methods and curvilinear grids.

A browser-based visualization framework for exploring and analyzing Zarr and NetCDF datasets.

Rapid Realistic Routing with R5 in Python.

An open-source deep-learning framework for exploring, building, and deploying AI weather and climate workflows.

A collection of beautifully designed, accessible, and customizable map components for React developers.

A foundation model for processing time-series satellite imagery to extract temporal patterns for Earth observation.

This Python library converts diverse geospatial datasets into graph structures for advanced GNN and spatial analysis.

A MapLibre GL JS plugin for visualizing LiDAR point clouds using deck.gl.

GoldenEye provides a unified interface for geospatial vision-language models, enabling rapid deployment with minimal code.

A coordinated effort to simplify browser-based data visualization in Python.

beaconDB provides a public domain wireless geolocation database, ethically sourced and privacy-friendly, for various location services.

An R package for comprehensive analysis of landscape fragmentation and connectivity in conservation planning.

Collect, share, and publish geospatial data easily from the field with seamless QGIS integration.

A fast and scalable Python library for raster-based spatial analytics.

A data-oriented pansharpening model designed to enhance the spatial resolution of satellite imagery through image fusion.

This Python package automatically generates high-resolution river relative elevation models (REM) and visualizations from digital elevation models.

A map-first STAC search and visualization tool, offering robust support for stac-geoparquet data.

An R package for tidy geospatial network analysis, integrating tidygraph and sf functionalities.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

wk offers lightweight R, C, and C++ infrastructure for parsing and iterating over well-known geometry formats.

gdalraster provides R language bindings to the powerful Geospatial Data Abstraction Library (GDAL) for raster and vector data processing.

A Python package that extends Google Earth Engine with pre-processing and processing tools for satellite platforms.

Mapbender is a professional open-source software for creating customized, map-based web applications.

The ultimate travel companion for discovering new places and tracking adventures.

An open-source SDK designed for logging, storing, querying, and visualizing diverse multimodal and multi-rate data streams.

This open-source 3D tool generates Digital Surface Models from satellite imagery using advanced photogrammetry techniques.

This open-source project provides an end-to-end mobile mapping system for large-scale 3D surveys using open hardware.

A robust open-source Python package for comprehensive analysis of digital elevation models.

A unified framework for end-to-end segmentation of forest LiDAR 3D point clouds.

Provides free open-source solutions for comprehensive forest and land monitoring globally.