|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Blendergis||6,570||2 months ago||220||gpl-3.0||Python|
|Blender addons to make the bridge between Blender and geographic data|
|Redisearch||4,742||12 hours ago||535||other||C|
|A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.|
|Osmnx||4,345||16||74||21 days ago||58||July 28, 2023||1||mit||Python|
|Python for street networks. Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.|
|Awesome Gis||3,732||7 days ago||13||mit|
|😎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.|
|Awesome Geospatial||3,504||12 days ago||1||cc0-1.0|
|Long list of geospatial tools and resources|
|L7||3,190||2||77||4 days ago||549||August 09, 2023||134||mit||TypeScript|
|🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine|
|Geemap||2,905||15||7 hours ago||157||July 31, 2023||9||mit||Python|
|A Python package for interactive geospaital analysis and visualization with Google Earth Engine.|
|Leafmap||2,533||13||5 days ago||98||September 01, 2023||6||mit||Python|
|A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment|
A building CAD model is fused with photogrammetry data using 3D Tiles, data courtesy of Bentley Systems.
3D Tiles is an open specification for sharing, visualizing, fusing, and interacting with massive heterogenous 3D geospatial content across desktop, web, and mobile applications.
As an open specification with an open-source runtime implementation, 3D Tiles allows data providers and app developers to make massive and complex 3D information more accessible, interoperable, and useful across all kinds of tools and applications.
With a defined set of file formats, multiple types of 3D geospatial content including photogrammetry/massive models, BIM/CAD, 3D buildings, instanced features, and point clouds can be converted into 3D Tiles and combined into a single dataset.
Bringing techniques from the field of 3D graphics and built on glTF, 3D Tiles defines a spatial hierarchy for fast streaming and precision rendering, balancing performance and visual quality at any scale from global to building interiors.
3D Tiles preserve per-feature metadata to allow interaction such as selecting, querying, filtering, and styling efficiently at runtime.
The 3D Tiles Resources page contains a list of implementations of the 3D Tiles standard, as well as viewers, generators, data providers, and demos. The page also includes developer resources, blog posts, and presentations that explain the concepts and applications of 3D Tiles.
The 3D Tiles Reference Cards are approachable and concise guides to learning about the main concepts in 3D Tiles and designed to help integrate 3D Tiles into runtime engines for visualization and analysis of massive heterogeneous 3D geospatial content.
These guides augment the fully detailed 3D Tiles specification with coverage of key concepts to help developers jumpstart adopting 3D Tiles.
tileset.propertiesare deprecated, in favor of the more versatile metadata support
More details about the changes between 3D Tiles 1.0 and 3D Tiles 1.1 can be found in CHANGES.md.
3D Tiles is an open specification and contributions including specification fixes, new tile formats, and extensions are encouraged. Issues and pull requests are welcome on this repository.