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
- Categories
- Maps & navigation
- Last verified
- Added
- Provenance
- Facts checked against the developer's own pages and store listings, 1 sources on file.
Alternatives to GRASS
Compare allSoftware 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
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MapServer
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Copernicus Browser
A web application for browsing, visualising and downloading imagery from all Copernicus satellite missions.