DeepFace

DeepFace is a lightweight Python framework that wraps the full face recognition pipeline, detection, alignment, embedding, and matching, behind a simple API. It bundles 11 recognition models including VGG-Face, FaceNet, ArcFace, Dlib, SFace, and GhostFaceNet, alongside 15 face detectors such as RetinaFace, MTCNN, MediaPipe, YuNet, and YOLO variants. Beyond verifying whether two photos show the same person or searching a database of faces, it predicts age, gender, emotion, and ethnicity, extracts facial embeddings as vectors, runs real-time analysis on webcam streams, and includes anti-spoofing to flag fake faces. A Flask-based REST API and Docker support make it deployable as a service, and it integrates with stores like PostgreSQL, MongoDB, Pinecone, and Weaviate for large-scale search. The library is MIT licensed, though wrapped models keep their own licenses. Developers building identity verification, attendance, or demographic analysis systems are its typical users.