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Project Ideas Project popularity
Philippe Ombredanne edited this page Feb 24, 2022
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Software is consumed as packages in ecosystems such as Maven/Java, RPM, Debian, npm, Rubygems.
Each ecosystem typically offers a centralized package repository though some are fully decentralized (such as Go). Determining the popularity and prominence of a software package within its ecosystem in a somewhat unbiased way is an unresolved issue and goes well beyond just counting stars on GitHub.
The goal of this project is to:
- Inventory and research existing efforts to provide metric proxies such as and including Libraries.io Sourcerank, Sonatype MTTU, OpenSSF Criticality, and others
- Inventory and document the metrics and data that could be available in key ecosystems such as Maven/Java, RPM, Debian, npm, Rubygems, PyPI, Conda, R, Perl, Go, Dart, Rust, Swift, Eclipse, Conan and PHP.
- Propose new metrics directions and a validation process for a possible unified approach (or multiple ecosystem-specific approaches)
The research question is: How to rank open source packages relative prominence and popularity? The project is also to write actual code to compute this popularity and prominence.
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Level
- Beginner
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Tech
- Python
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Mentors
- @pombredanne https://github.com/pombredanne