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Tim Bonnemann & Jonathan Starr - Map of Open-Source Science (MOSS) | PyData Global 2023
Explore the Map of Open-Source Science (MOSS), a visual representation of the ecosystem of open-source research software and its connections, aiming to facilitate discovery and understanding of relationships between tools, projects, and packages.
- The Map of Open-Source Science (MOSS) aims to visualize the entire ecosystem of open-source research software and its connections.
- The map is designed to help users navigate and understand the relationships between open-source software, projects, and packages, making it easier to find the right tool for their specific use case.
- MOSS is not limited to any particular programming language and covers various subfields, including machine learning.
- The map will provide insights into the impact of open-source research software on society, highlighting its foundational role in various fields.
- The project is still in its early stages, and the team is actively seeking feedback and input from the community.
- The current proof-of-concept map uses Kumo, a graph visualization tool, and includes over 10,000 nodes and edges.
- The team is exploring ways to add more features, including metrics and financial information, to improve the utility of the map.
- OS is a non-profit organization that supports open-source research software and has a working group dedicated to building the MOSS.
- The ultimate goal of MOSS is to create a comprehensive map that can be used by funders, researchers, and open-source developers to make more informed decisions.