GRASS

An open-source geospatial processing engine for raster, vector and imagery analysis.

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About GRASS

GRASS (Geographic Resources Analysis Support System) is a computational engine for raster, vector and geospatial processing. It supports terrain and ecosystem modelling, hydrology, data management and imagery processing, with a built-in temporal framework for time series analysis and a Python API for scripting.

It is a project of the Open Source Geospatial Foundation and is available for Windows, macOS, Linux, Docker and conda. It suits researchers and GIS analysts running large-scale spatial analysis.

Strengths

  • Broad raster, vector and imagery processing
  • Temporal framework for time series analysis
  • Python API for scripting
  • Installs via conda and Docker as well as native packages

Limitations

  • Steep learning curve for newcomers
  • Geared to analysis rather than simple map viewing

Details

Pricing
FreeFree and open source, with community and commercial support available.
License
Open source, license not stated
Developer
The GRASS contributors
Platforms
Windows, macOS, Linux
How it runs
Downloadable app
Account
Not required
Works offline
Yes
Best suited for
Researchers and GIS analysts doing large-scale geospatial analysis
Last verified
Added
Provenance
Facts checked against the developer's own pages and store listings, 1 sources on file.

Alternatives to GRASS

Compare all

Software that can replace GRASS for an important use case, and what changes if you switch.

  • QGIS

    A free and open-source desktop GIS for making maps, editing spatial data and running analysis.

    QGIS is also free and open source, adding a print layout designer and CAD-like editing tools alongside analysis, with a dense interface that suits mapmaking.

Similar software

Related functionality, not necessarily a direct replacement.

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