GDAL
FrameworkOpen-source projects built with GDAL
There are currently 15 open-source projects built with GDAL, with a combined total of 4.7k GitHub stars. The most common language among these projects is Python.
Showing 15 open-source projects
A Python framework for processing spatio-temporal satellite imagery and extracting features for machine learning applications.
A Jupyter notebook extension for interactive geospatial visualization and analysis.
A fast and flexible C++ library for working with OpenStreetMap data.
Convert raster and vector geospatial data to various formats and coordinate systems entirely in the browser using WebAssembly.
An open-source platform for storing, visualizing, and sharing geospatial data like orthophotos, point clouds, and 3D models.
An open-source web tool for stitching aerial photos into georeferenced maps using a browser-based interface.
An idiomatic Go wrapper for the GDAL library, providing efficient raster and vector geospatial data processing.
A Python implementation of Two Source Energy Balance models for estimating evapotranspiration using remote sensing data.
An R package for converting geographic data to and from GeoJSON and TopoJSON formats.
A world-wide CartoCSS port of Stamen's classic terrain map style for topographic visualization.
A Go library to publish GIS vector data to PostGIS and GeoServer.
A command-line utility that converts heavy GIS sources into web-optimized TopoJSON, SVG, and raster map files.
A QGIS plugin for visualizing and interacting with ROS topic data and bag files in geographic information systems.
A Node.js library for transforming large streams of GeoJSON data into CSV, KML, Shapefile, and other GIS formats.
A command-line tool to generate administrative boundary polygons from OpenStreetMap data for any country.
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