GRASS
NumFOCUS Sponsored Project since 2025Industry
Higher Education Research & Teaching, Government, Business & Industry Applications
Language
C, Python, C++
Features
Geoprocessing, Data Wrangling, Modeling, Visualization, High Performance Computing, Remote Sensing, Earth Observation, Environmental Modeling, Open Science, Time Series, Hydrology, Geomorphology, Big DataNumerical Computing
GRASS GIS is a powerful computational engine for raster, vector, and geospatial processing. It supports terrain and ecosystem modeling, hydrology, data management, and imagery processing. With a built-in temporal framework and Python API, it enables advanced time series analysis and rapid geospatial programming, optimized for large-scale analysis on various hardware configurations. GRASS GIS provides a curated repository of contributed tools that continue to be maintained and enhanced as research and technology evolves.
GRASS GIS is used by researchers and practitioners in academia, industry, and public agencies for applications in hydrology, terrain analysis, ecosystem modeling, temporal imagery processing, and natural hazard assessment. Its geoprocessing capabilities enable the creation of high-resolution global hydrographic networks and geomorphometric datasets, driving advances in environmental modeling.
