GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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Updated
Oct 6, 2026 - C++
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Google Earth Enterprise - Open Source
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
Limited Error Raster Compression
Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
Cyan Graphics
toolpath planning for additive manufacturing and CNC milling
A CUPS/PWG/Apple raster file viewer for Linux, macOS, and Windows
DuckDB extension for manipulating point cloud data using SQL
DuckDB extension for reading data from SpatioTemporal Asset Catalogs (STAC) using SQL
This is a prototype of a geospatial extension for DuckDB that adds support for working with raster data
Fast and lightweighed image viewer for Windows. Suitable for image processing and computer vision area, providing presize visualization without interpolation, high zoom and color picking mode.
KEALib provides an implementation of the GDAL data model. The format supports raster attribute tables, image pyramids, meta-data and in-built statistics while also handling very large files and compression throughout.
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