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Awesome List
😎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.
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a language for fast, portable data-parallel computation
Open Source Routing Engine for OpenStreetMap
Interactive, thoroughly customizable maps in native Android, iOS, macOS, Node.js, and Qt applications, powered by vector tiles and OpenGL
Build vector tilesets from large collections of GeoJSON features.
Google Earth Enterprise - Open Source
Computational geometry and spatial indexing on the sphere
MapLibre Native - Interactive vector tile maps for iOS, Android and other platforms.
2D and 3D map renderer using OpenGL ES
WhirlyGlobe Development
C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API
A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes.
Mapnik implemention of Mapbox Vector Tile specification
Entwine - point cloud organization for massive datasets
OpenOrienteering Mapper is a software for creating maps for the orienteering sport.
Pandas Network Analysis by UrbanSim: fast accessibility metrics and shortest paths, using contraction hierarchies :world_map:
gSLICr: Real-time super-pixel segmentation
A C++17 image representation, processing and I/O library.
R package for fast and accurate raster zonal statistics
Terrain Analysis Using Digital Elevation Models (TauDEM) software for hydrologic terrain analysis and channel network extraction.
No description.
Creating and analyzing Earth observation data cubes in R
Port to C++ of JS GeoJSON-VT for slicing GeoJSON into vector tiles on the fly
Alternative LAZ implementation for C++ and JavaScript
Geospatial Image Processing for Python
Uber's h3 bindings to the R Programming Language
Read images to numpy arrays
C++ library for geographical raster data analysis
A fast geospatial static point clustering library for C++14
PHP extension for geospatial rendering with Mapnik
Algorithm for extracting channel networks from high resolution topographic data
Compute drainage orders in drainage basins using Strahler and Shreve methods