Showing 1-20 of 76 projects
An open-source 3D mapping and visualization library for building globe and map applications.
A WebGL2-powered visualization framework for building data-rich, interactive visualizations on the web.
QGIS is an open-source GIS platform used for creating, analyzing, and visualizing geospatial data.
Kepler.gl is a powerful open-source geospatial analysis tool for large-scale data visualization.
A modular geospatial engine written in TypeScript for building mapping and location-based applications.
Real-time geospatial and geofencing database for location-aware applications and services.
Unified cloud-native data warehouse platform for analytics, search and AI, built on top of S3 storage.
A Blender addon that provides tools to work with geographic data and create 3D maps.
H3 is a hexagonal hierarchical geospatial indexing system for efficient spatial operations.
GDAL is an open-source library for working with various geospatial data formats, useful for remote sensing and GIS applications.
A Python library for downloading, modeling, analyzing, and visualizing street networks and other geospatial data from OpenStreetMap.
A comprehensive collection of geospatial tools, libraries, and resources for developers working with location-based data and services.
OrientDB is a versatile, multi-model DBMS that supports Graph, Document, Reactive, Full-Text, and Geospatial models.
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support.
A comprehensive collection of geospatial tools and resources for data analysis, machine learning, and spatial applications.
An open-source, customizable map hosting solution using OpenStreetMap data and the MapLibre library.
GeoServer is an open-source server for publishing geospatial data and interactive mapping applications.
Large-scale, WebGL-powered geospatial data visualization and analysis engine.
TorchGeo is a Python library for working with geospatial data using PyTorch, providing datasets, samplers, transforms, and pre-trained models.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
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