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Open Geospatial Solutions

A collection of open-source software packages for the geospatial community
README.md

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The Open Geospatial Solutions (opengeos) GitHub organization hosts a collection of open-source geospatial software projects. The projects are developed by a community of geospatial software developers and researchers. The projects are maintained by the community and are free to use and modify. The projects are open-source and are licensed under the MIT license. If you are interested in hosting an open-source project with us, please submit a request on the Discussion Board. We always welcome new contributors and collaborators.

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Python Packages

Data Catalogs

R Packages

ArcGIS Toolboxes

Web Apps

Useful Resources

Acknowledgements

Some of the projects hosted by the Open Geospatial Solutions organization are supported by Amazon Web Services (AWS).

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  6. geospatial-data-catalogs geospatial-data-catalogs Public

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Repositories

Showing 10 of 62 repositories
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    GeoAI: Artificial Intelligence for Geospatial Data

    Python 338 MIT 32 5 1 Updated Mar 7, 2025
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    A list of open datasets on AWS

    Python 40 MIT 7 0 1 Updated Mar 7, 2025
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    A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

    Jupyter Notebook 553 MIT 45 0 1 Updated Mar 7, 2025
  • aws-open-data-geo Public

    A list of open geospatial datasets on AWS

    Python 284 MIT 8 1 0 Updated Mar 7, 2025
  • NASA-CMR-STAC Public

    A list of geospatial datasets on NASA's Common Metadata Repository (CMR)

    Jupyter Notebook 22 MIT 4 0 0 Updated Mar 7, 2025
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    The Google Earth Engine data catalog in CSV format

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    Generate Earth Eninge tile layer URL to be used by leafmap

    Python 6 MIT 1 0 0 Updated Mar 7, 2025
  • NASA-Earth-Data Public

    A comprehensive list of NASA Earth science data products

    Jupyter Notebook 137 MIT 15 0 1 Updated Mar 7, 2025
  • maps.gishub.org Public
    HTML 2 MIT 1 0 0 Updated Mar 6, 2025
  • leafmap Public

    A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

    Python 3,291 MIT 403 0 0 Updated Mar 6, 2025
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