face detection and recognition
Python/CLI library that uses dlib's deep-learning model to find faces, extract facial landmarks, and recognize people via 128-d face embeddings.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose when you want a maintained Python face-recognition API with multiple model backends and age/gender/emotion attributes.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Choose for an actively maintained lightweight Python API that unifies face recognition with detection, parsing, gaze, and anti-spoofing.
UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose when you need face recognition in JavaScript/browser or Node, especially combined with body/hand/iris tracking.
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
Choose when you need a single SDK with liveness/anti-spoofing and face comparison, but verify its nonstandard licensing.
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
Choose when you want a language-agnostic local REST/AI engine that provides face recognition among other vision APIs.
The World's Leading Cross Platform AI Engine for Edge Devices
Choose when you are already in PyTorch and want pretrained MTCNN/FaceNet models rather than dlib's high-level wrapper.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Choose when you need the OpenFace Torch/Lua deep-net pipeline and are okay with a heavier, non-pip setup.
Face recognition with deep neural networks.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose for a PyTorch/PaddlePaddle research-oriented face-recognition library, but it is stale and less beginner-friendly.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Choose only for reproducing the old Caffe-based DeepFace baseline; it is ancient and unmaintained.
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
Choose if you specifically need the original TensorFlow FaceNet models/research baseline, but it is no longer maintained.
Face recognition using Tensorflow
Choose if you need old mobile-oriented face-recognition models/pipelines, accepting a stale codebase and manual integration.
A face recognition solution on mobile device.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose when you want face recognition integrated into Nextcloud photo management instead of embedding a Python library.
Nextcloud app that implement a basic facial recognition system.
Choose for a self-hosted web/REST face-recognition system with UI instead of an in-process Python library.
Leading free and open-source face recognition system
These projects were analysed and named face_recognition among their alternatives. The relationship is not symmetric — how face_recognition rates them is a separate judgement, made when face_recognition is analysed in its own right.
calls face_recognition “Choose it for the simplest Python face recognition API/CLI when you want direct in-process recognition without Docker/API overhead.”
Leading free and open-source face recognition system
calls face_recognition “when you only need simple dlib-based face recognition without the attribute-analysis portion.”
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python