A ranked list of 170 awesome open-source digital identity projects, grouped into 11 categories and updated weekly.
best-of-digital-identity is a curated, ranked directory of open-source projects focused on digital identity technologies. It solves the problem of discovering and evaluating quality tools in areas like authentication, authorization, biometrics, and decentralized identity by applying automated quality scoring across 170 projects.
Developers, architects, and technical decision-makers building identity and access management systems who need to evaluate and select open-source tools.
It provides a data-driven, continuously updated overview of the ecosystem, saving time compared to manual research. The ranking helps identify well-maintained, popular projects based on objective metrics like GitHub activity and community adoption.
A ranked list of awesome Digital Identity open source projects
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Lists 170 projects across 11 categories like identity providers and decentralized identity, offering a broad overview of tools. The README specifies '170 awesome open-source projects' grouped into detailed sections.
Ranks projects using automated metrics from GitHub and package managers, including stars, activity, and downloads. The README explains that scores are based on 'various metrics automatically collected' for objectivity.
Updated weekly to reflect the latest project metrics and additions, ensuring the list stays current. Badges in the README show 'updated' dates and mention 'Updated weekly.'
Accepts contributions via issues, pull requests, or direct edits to projects.yaml, allowing community input. The README states 'Contributions are very welcome!' with direct links for participation.
The scoring algorithm is admitted to be based on experience without scientific proof, potentially misrepresenting actual project quality. The README warns: 'There is no scientific proof that this really reflects the quality of a project.'
Relies solely on automated metrics without manual assessments or qualitative analysis, which might overlook nuances like code maintainability or security practices. No mention of expert curation in the README.
Excludes proprietary tools, which could be a gap for enterprises needing commercial integrations or vendor-backed solutions. The description focuses on 'open-source projects' without addressing closed-source alternatives.