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facebookresearch/faiss

GitHubSample

A library for efficient similarity search and clustering of dense vectors.

Open on GitHub

From GitWorld cache (refreshed every 12h)

Stars

30.1k

Health Score

83

Contributors

174

Open issues

410

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Trajectory

Not enough history yet

Commit velocity

Weekly commits over the last 52 weeks, live from GitHub.

Commit activity unavailable

Release cadence

Recent releases, live from GitHub. Hollow dots are pre-releases.

No release history available

Explain this score

83Healthy

83 of 100 available rubric points, rescaled to 100 across the 100% of factors the host actually reports. Stars are deliberately excluded — popularity is not maintenance.

  • Recent commits22/22 pts

    Last commit 2 days ago

  • Release cadence9/16 pts

    4 releases in the last 12 months

  • Contributor count14/14 pts

    174 contributors

  • Contributor spread9/12 pts

    Busiest contributor accounts for 24% of commits

  • Issue responsiveness7/12 pts

    Median first response around 6 days

  • Issues closed recently6/8 pts

    120 issues closed in the last 90 days

  • Documentation8/8 pts

    README and documentation present

  • Tests and CI8/8 pts

    Test suite and CI configuration present

  • Security policy: A published security policy was detected

How momentum is derived

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