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GRASS GIS

GRASS GIS is a free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization.

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Pricing:
  • Open Source
Platforms:
  • Windows
  • Mac OSX
  • Linux
  • Docker
GRASS GIS

GRASS GIS Reviews and Details

This page is designed to help you find out whether GRASS GIS is good and if it is the right choice for you.

Screenshots and images

  • GRASS GIS Landing page
    Landing page //
    2025-06-16

Features & Specs

  1. Open Source

    GRASS GIS is completely free and open-source, allowing users to access its full range of features without any licensing fees. This promotes greater accessibility and collaboration in the geospatial community.

  2. Comprehensive Toolset

    It offers a wide array of tools for spatial modeling, geostatistics, and data visualization, making it suitable for various types of spatial analysis.

  3. Cross-Platform Compatibility

    GRASS GIS can be used on multiple operating systems, including Windows, macOS, and Linux, providing flexibility for users with different personal setups.

  4. Strong Community Support

    A dynamic user and developer community actively contributes to the software's development, making continuous improvements and offering extensive support through forums and mailing lists.

  5. Interoperability

    GRASS GIS can work well with other geospatial software, including QGIS, Python, and R, allowing for an integrated workflow.

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Questions & Answers

As answered by people managing GRASS GIS.
  1. How would you describe the primary audience of GRASS GIS?

    GRASS GIS primarily caters to geospatial professionals, researchers, and students in fields like geography, environmental science, urban planning, and geology. It is also used by government agencies and non-profit organizations for spatial data analysis and environmental modeling.

  2. Who are some of the biggest customers of GRASS GIS?

    As an open-source tool, GRASS GIS doesn't have "customers" in the traditional sense. However, it is widely used by various government agencies, academic institutions, and environmental organizations worldwide. Notable users include space agencies, numerous universities and research institutions as well as companies involved in geospatial studies and analysis.

  3. What's the story behind GRASS GIS?

    GRASS GIS was initially developed by the U.S. Army Corps of Engineers as a tool for land management and environmental planning. It was first released in the early 1980s and has since evolved into a robust, multi-functional GIS platform, largely due to contributions from a global community of developers. GRASS GIS is a founding member project of the Open Source Geospatial Foundation (OSGeo.org).

  4. What makes GRASS GIS unique?

    • Open-Source and Free: GRASS GIS is completely open-source, allowing users to freely use, modify, and distribute it.
    • Advanced Geospatial Capabilities: It offers a wide range of tools for spatial modeling, geostatistics, and data management, making it suitable for advanced geospatial analysis.
    • Strong Community Support: Being open-source, it has a strong community of developers and users contributing to its continuous improvement.
    • Integration with Other Open-Source Tools: It can be integrated with other open-source GIS software like QGIS, providing a comprehensive GIS solution.
  5. Why should a person choose GRASS GIS over its competitors?

    • Cost-Effectiveness: Being free and open, it is an excellent choice for those with a strong need for quality.
    • Customizability: Users can customize and extend its functionalities to suit their specific needs.
    • Comprehensive Geospatial Functions: It offers a wide range of geospatial functions that are comparable, and sometimes superior, to those in proprietary GIS software.
    • Strong Data Handling: It can handle large datasets efficiently, which is beneficial for complex geospatial analyses.
  6. Which are the primary technologies used for building GRASS GIS?

    GRASS GIS is primarily written in C, Python, and C++. It uses a range of geospatial libraries and technologies, including GDAL for data conversion, PROJ for coordinate transformations, and can interface with SQL databases.

Videos

GRASS GIS Tutorials - Tutorial 2 - Understanding GRASS GIS Data Structure

GRASS GIS Tutorial 2 - Understanding GRASS GIS Data Structure

GRASS GIS Tutorials - Tutorial 1 - Installation - REVISED

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about GRASS GIS and what they use it for.
  • QGIS is a free, open-source, cross platform geographical information system
    What about GRASS? https://grass.osgeo.org. - Source: Hacker News / 10 months ago
  • Overthinking GIS
    For more advanced terrain analysis, see GRASS GIS (https://grass.osgeo.org/). Itโ€™s a but clunky, but accessible from QGIS via a plugin. Whitebox also has some nice terrain analysis tools (https://www.whiteboxgeo.com/). - Source: Hacker News / about 1 year ago
  • Geospatial Nix โ€“ create, use and deploy today
    Https://grass.osgeo.org/
        GRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series...
    - Source: Hacker News / over 2 years ago
  • What's missing from C# in Godot 4?
    We haven't looked at integrating GRASS yet, as we're more interested in data display, not deep analysis. Just another example of a C/C++ library with front end bindings for Python. Numbers are crunched in C/C++, results returned to Python. Source: about 3 years ago
  • Discussion Thread
    Anyone have good advice for where to learn how to use GRASS. Source: about 3 years ago
  • GIS Developer career path
    Outside of personal experience, based on second-hand insight: GRASS is an extremely powerful tool, if you're not familiar with it already, and you can use it from the CLI and from Python. If you'd like to step out of Python at some point, I hear Java is used a lot for enterprise GIS, while Julia looks like the language of the future (especially now with JuliaGeo), but that still remains to be seen. Source: over 3 years ago
  • What other tools do you use to help you do GIS?
    Sometimes some modules from GRASS like r.lake at the moment. Source: over 3 years ago
  • GIS in R
    Rgass7. Mapsets and examples at https://grass.osgeo.org/. Source: about 4 years ago
  • Linux and GIS?
    Add GRASS https://grass.osgeo.org/ to that list , QGIS was first made for linux ( if I recall correctly). Source: about 4 years ago
  • GIS Computer software.
    Well if you are looking for open source alternatives also check out GRASS GIS (https://grass.osgeo.org/) and other software provided by OSGeo https://www.osgeo.org/projects/. Source: almost 5 years ago

Summary of the public mentions of GRASS GIS

GRASS GIS, or Geographic Resources Analysis Support System, is a robust open-source Geographic Information System (GIS) that offers comprehensive analytical tools geared towards spatial modeling and data analysis. Initially developed in 1982 under the auspices of the U.S. government, it has since gained traction primarily within the academic community, and its development persists today through contributions by a dedicated open-source community. This software is known for its expansive functionality and versatility, supporting raster, vector, and a variety of database formats.

Public opinion regarding GRASS GIS is generally favorable, especially amongst users who require extensive analytical capabilities. The software is frequently recognized for its advanced functionalities in hydrological, environmental, and terrain modeling. Specifically, GRASS GIS excels in processing and analyzing spatial data, providing users with a suite of sophisticated tools for complex GIS tasks. Users appreciate its robust temporal processing capabilities and Python API, allowing for seamless integration into geospatial programming workflows.

One of GRASS GIS's strengths is its seamless integration with QGIS, a popular open-source GIS platform. This compatibility extends its functionality and makes GRASS's arsenal of tools accessible to a broader user base. Additionally, the open-source nature of GRASS GIS ensures that it is free and accessible, removing financial barriers and making it an attractive option for small businesses and individual users.

Despite its powerful features, GRASS GIS does receive critique regarding its user interface, which some users find clunky compared to commercially available alternatives. The software's rigid requirements on map projections can also pose challenges for new users unfamiliar with its intricacies. However, these drawbacks are often offset by the comprehensive documentation and tutorials available, which facilitate user adoption and proficiency.

The community-driven support around GRASS GIS is notable, with numerous plugins and extensions enabling customization to meet specific user needs. This adaptability makes it an appealing option for users looking to perform diverse tasks ranging from image processing and ecosystem modeling to spatial data management and analysis.

In terms of market positioning, GRASS GIS competes with other GIS heavyweights such as Esri ArcGIS, MapInfo Pro, and QGIS. While it may not boast the polished commercial intuitiveness of products like ArcGIS, its cost-effectiveness, coupled with its broad functionality, renders it a formidable open-source alternative.

In conclusion, GRASS GIS is widely regarded as a powerful GIS tool, particularly for those willing to delve into its advanced features. Its open-source nature and extensive capabilities in spatial analysis make it a valuable resource for users ranging from academic researchers to GIS professionals looking for free, potent alternatives to commercial GIS software.

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grass.osgeo.org

Funding news

    6 Sep 2023
  1. NSF Grant Awarded to Enhance GRASS GIS Ecosystem

    grass.osgeo.org - The goal of this project is to modernize software infrastructure and strategically grow the GRASS community to achieve a technologically and socially sustainable open-source ecosystem that provides scientists a foundation for novel, interdisciplinary research that will be accessible, reproducible, and ready for further innovations. The project aims to facilitate the adoption of GRASS GIS as a key geoprocessing engine by a growing number of researchers and geospatial practitioners in academia, governments, and industry. To achieve a technologically sustainable ecosystem with broader access to GRASS algorithms and models, the project will modernize and expand software distribution, increase security and quality assurance, and simplify maintenance of GRASS integrations with other software (such as R and QGIS). Streamlined contributor onboarding procedures and both remote and in-person training, mentoring, and promotion activities will encourage researchers to contribute new geospatial algorithms and models. Onboarding and teaching materials that are integrated in automated testing will significantly lower the costs to the developer community for maintaining this sophisticated software environment. The project aims to grow the community of GRASS users, contributors, and developers worldwide through engagement activities such as cross-project meetups, developer summits, community sprints, online and in-person training and one-on-one contributor mentoring. International involvement and diversity in project governance will be addressed by working with the GRASS Project Steering Committee to establish focused work groups that will implement policies ensuring an inclusive environment and high-quality contributions. Expanding the number and diversity of contributors from academia and research, non-profits, and industry will facilitate development of new geoprocessing engine features and ensure long-term maintenance of contributed research models. It will also enable faster development of geoprocessing tools to address major societal challenges linked to a location and place. The NSF grant is an acknowledgement of the critical role GRASS GIS plays in addressing complex challenges across various domains and represents an exciting opportunity for the GRASS community to grow and innovate.

    ๐Ÿ˜‡ Angel

    $1.5M

    -

    U.S. National Science Foundation (NSF)

Is GRASS GIS good? This is an informative page that will help you find out. Moreover, you can review and discuss GRASS GIS here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.