facebookresearch/faiss

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

41.2k stars · 4.6k forks · C++

Healthy

Healthy: actively maintained by 59 people, no known risks.

Why

No rule fired.

What would change this

Maintenance

Partial

Active

Human commits, 30 days
68
Human commits, 90 days
179
Human commits, 365 days
770
Bot share of commits, 365 days
0%
Last commit
Oct 14, 2026 (17 hours ago)
Last human commit
Oct 14, 2026 (17 hours ago)
Authors, 90 days
59
Last release
Sep 16, 2026 (28 days ago)
Median PR merge time
2 days

Responsiveness: of 30 recent issues, 0% got a maintainer reply. Median first response: n/a.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete
Owner
Organization
Commits sampled
500 since Oct 14, 2025
Authors for half of commits
6
Authors for 80% of commits
27
Contributors
290

Top committers

Sources: Commits, Contributors

Stars

Complete

Organic, confidence high

Stars per week, 2017-02-05 to 2026-10-11. 7 weeks overlap a burst.Peak 780 a week2017-02-052026-10-11
Bars show stars gained each week. Orange bars overlap a burst.

Bursts

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

Sources: How star history is analyzed

Risk

Complete

Flags

No risk flags.

License

Now
MIT (OSI-approved)
A year ago
MIT (OSI-approved)

Packages

Package and advisory data: deps.dev and OSV.

OpenSSF Scorecard: 6.1 out of 10 (via deps.dev).

Sources: GitHub: facebookresearch/faiss, deps.dev: PyPI faiss-cpu

Badge

Add this to a README to show the current verdict:

[![RepoRadar](https://reporadar.ai/facebookresearch/faiss/badge.svg)](https://reporadar.ai/facebookresearch/faiss)

Earlier verdicts

Computed 15 hours ago · method 2026.10.2