A curated list of open-source software, data, and resources for geoscientists, hackers, and data wranglers.
Awesome Open Geoscience is a curated directory of open-source software, data repositories, tutorials, and resources tailored for geoscientists, data wranglers, and researchers. It organizes hundreds of tools across subdomains like seismology, geospatial analysis, reservoir engineering, and geochemistry, helping users discover solutions without navigating fragmented sources. The project addresses the challenge of finding reliable, community-vetted open-source geoscience tools in one place.
Geoscientists, researchers, data engineers, and students working in fields like geophysics, geology, hydrology, and environmental science who need open-source software or data for analysis, modeling, or visualization.
Unlike generic software lists, it is domain-specific, community-maintained, and includes not just software but also datasets and learning resources. It saves time by aggregating and categorizing tools that are proven useful in real geoscience workflows, all under an open contribution model.
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Organizes tools by specific geoscience subfields like seismology, geostatistics, and geochemistry, as seen in the detailed table of contents, making targeted discovery straightforward.
Maintained by the geoscience community with open contributions and adherence to the Awesome manifesto, ensuring listed projects are well-maintained, backed by badges for contributions and link checking.
Includes not just software but also open data repositories, tutorials, cheat sheets, and community platforms like the Software Underground Slack, providing a holistic starting point.
Lists tools in Python, Julia, R, C++, Fortran, and other languages common in scientific computing, catering to varied technical backgrounds across geoscience domains.
Relies on community contributions without active quality auditing, which can lead to outdated links or missing entries, as hinted by the need for automated link checking via GitHub Actions.
Serves as a directory without providing performance comparisons, user reviews, or integration guides, forcing users to independently test and validate tools.
Exclusively focuses on open-source tools, so it offers no guidance for evaluating proprietary solutions that might be necessary in certain industry or research contexts.