Lightweight Python face recognition and facial-attribute analysis (age, gender, emotion) wrapping VGG-Face, FaceNet, ArcFace and friends — pip install, self-hosted, battle-tested at 23k stars.
The de-facto open-source answer to cloud face APIs: pip install deepface and you get detection, alignment, verification, find-in-database and attribute analysis (age/gender/emotion) behind one call, wrapping VGG-Face, FaceNet, ArcFace, Dlib and more — self-hosted, no per-image API bill, with a REST server and Docker image for production. Reach for it when you need face verification or analysis on your own hardware in minutes. NOT an LLM/agent tool — it's classic computer vision, the catalog's first; and treat attribute analysis (race/emotion) with care: contested accuracy and serious GDPR/ethics exposure in production. GPU optional but strongly advised beyond hobby volume.
DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, Buffalo_L.
A modern face recognition pipeline consists of 5 common stages: [detect](https://sefiks.com/2020/08/25/deep-face-detection-
What teams reach for next — and why each earns a place beside deepface. Ranked by curator confidence.
