ageitgey/face_recognition

Prefer upstream unless you specifically need an untouched historical snapshot. This fork adds no visible features and is materially behind, so it is mainly useful as an archival copy rather than an adoptable alternative.

Prefer this fork only if you specifically want a mostly unchanged snapshot of `face_recognition`. If you want the most maintained version, upstream is the better choice because this fork is stale and behind.

Prefer this fork only if the added face-database and PostgreSQL workflow is the main requirement. If you want the most current, general-purpose face_recognition library, upstream is the safer choice.

Prefer upstream unless you explicitly need a frozen, minimally modified snapshot; this fork adds no visible capabilities and is materially behind upstream.

Prefer upstream unless you explicitly need a frozen historical snapshot. This fork does not add capabilities and is materially behind upstream, so it is a poor choice for adopters looking for ongoing maintenance or improvements.

Prefer upstream unless you specifically want a frozen, unmodified baseline. This fork adds no visible capabilities, is stale, and trails upstream by 44 commits.

Prefer this fork if you want a narrow face-verification product with a server/UI workflow. Prefer upstream if you need a maintained, general-purpose Python/CLI face-recognition library with broader docs, translations, and ongoing project continuity.

Choose this fork if you want a Runway-deployable face-recognition service and the changes align with your runtime workflow. Choose upstream if you want the current, general-purpose Python/CLI library with broader maintenance and clearer original docs.

Prefer this fork only if you want its photo-organizing/demo direction and do not need active maintenance or upstream completeness. For most adopters, upstream is the safer default because this fork is old, far behind, and appears to remove a lot of the original project’s documentation and test support.