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Become a sponsor to Open Geospatial Solutions

πŸ‘‹ Welcome to Open Geospatial Solutions' GitHub Sponsors page! We are a non-profit organization dedicated to advancing the use of open source software in geospatial applications. Our mission is to promote the development and adoption of open geospatial technologies, and to support the growth of a vibrant and inclusive community of geospatial practitioners.

🌍 By sponsoring Open Geospatial Solutions, you are helping us to continue our work in promoting the use of open geospatial technologies. Your support will help us to:

  • πŸ› οΈ Develop and maintain open source geospatial software, including tools for data processing, visualization, and analysis.
  • πŸŽ‰ Host community events and workshops to educate and connect geospatial practitioners.
  • πŸ™Œ Provide resources and support for individuals and organizations looking to adopt open geospatial technologies.
  • πŸ“£ Advocate for open standards and open source software in the geospatial industry.

πŸ’– As a sponsor, you will receive special recognition on our website and in our community events, as well as exclusive access to early releases of our software and other insider updates. You'll also have the satisfaction of knowing that you're helping to support the growth of open geospatial technologies and the community around them.

πŸ™ Thank you for considering sponsoring Open Geospatial Solutions! Together, we can build a better and more open geospatial future.

1 sponsor has funded opengeos’s work.

@xiewei18

Meet the team

Featured work

  1. opengeos/leafmap

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

    Python 2,907
  2. opengeos/streamlit-geospatial

    A multi-page streamlit app for geospatial

    Python 806
  3. opengeos/segment-geospatial

    A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

    Python 2,666
  4. opengeos/geospatial-data-catalogs

    A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

    Jupyter Notebook 482
  5. opengeos/whitebox-python

    WhiteboxTools Python Frontend

    Python 364
  6. opengeos/geospatial

    A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

    Python 323

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