What is Grass used for?

GRASS is a free and open-source geospatial processing engine supporting raster, vector, terrain, ecosystem modeling, hydrology, data management, imagery processing, and time series analysis. It is a good fit for large-scale geospatial analysis, time series analysis, and terrain and ecosystem modeling.

Is Grass open source?

Yes. Grass is open source under a custom licence. Its source code is on GitHub at OSGeo/grass and is written mainly in C.

Yes. Grass is open source, so the software itself is free to use under the terms of its own licence.

Can I self-host Grass?

Yes. Grass can be self-hosted on your own server or infrastructure.

What is Grass an alternative to?

Grass is an open-source alternative to ArcGIS. Other open-source alternatives to ArcGIS include QGIS, GeoServer and GeoDa.

Is Grass actively maintained?

Yes. The most recent commit to Grass was on 13 October 2026, and the latest release is 8.5.0, published on 8 May 2026. The project has 1.2k stars on GitHub.

Grass: open-source alternative to ArcGIS

About Grass

GRASS (Geographic Resources Analysis Support System) is a computational engine for raster, vector, and geospatial processing. It supports terrain and ecosystem modeling, hydrology, data management, and imagery processing.

It includes a built-in temporal framework and a Python API for advanced time series analysis and rapid geospatial programming. It is optimized for large-scale analysis on various hardware configurations and is available for Windows, macOS, Linux, Docker, and conda.

Key features

Raster, vector, and geospatial processing
Terrain and ecosystem modeling
Hydrology analysis
Data management and imagery processing
Built-in temporal framework for time series analysis
Python API for geospatial programming

Good fit for

Large-scale geospatial analysis
Time series analysis
Terrain and ecosystem modeling

Built with: C tools; Python tools
Tags: geospatial; gis; raster; vector; modeling; time-series

Grass: questions and answers

What is Grass used for?: GRASS is a free and open-source geospatial processing engine supporting raster, vector, terrain, ecosystem modeling, hydrology, data management, imagery processing, and time series analysis. It is a good fit for large-scale geospatial analysis, time series analysis, and terrain and ecosystem modeling.
Is Grass open source?: Yes. Grass is open source under a custom licence. Its source code is on GitHub at OSGeo/grass and is written mainly in C.
Is Grass free?: Yes. Grass is open source, so the software itself is free to use under the terms of its own licence.
Can I self-host Grass?: Yes. Grass can be self-hosted on your own server or infrastructure.
What is Grass an alternative to?: Grass is an open-source alternative to ArcGIS. Other open-source alternatives to ArcGIS include QGIS, GeoServer and GeoDa.
Is Grass actively maintained?: Yes. The most recent commit to Grass was on 13 October 2026, and the latest release is 8.5.0, published on 8 May 2026. The project has 1.2k stars on GitHub.