face recognition / facial attribute analysis
DeepFace is a lightweight Python library for face recognition and facial attribute analysis (age, gender, emotion, and race), providing a unified API around multiple deep-learning models.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
when you need face anti-spoofing and liveness alongside recognition and attributes, which deepface does not offer.
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
when you want a unified Python API that also covers face parsing, gaze, and anti-spoofing beyond deepface's feature set.
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.
when you need face analysis plus body/hand tracking in browser or Node.js instead of deepface's Python-only API.
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
when you want a recent research-level transformer that unifies many facial-analysis tasks and you can adapt non-library code.
[ ICCV 2025 ] FaceXFormer: A Unified Transformer for Facial Analysis
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
when you only need simple dlib-based face recognition without the attribute-analysis portion.
The world's simplest facial recognition api for Python and the command line
when you want the classic OpenFace model in a Lua/Torch environment and don't need attributes.
Face recognition with deep neural networks.
when you need a PyTorch-native FaceNet/MTCNN building block for a custom face-recognition pipeline.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
when you need a research-oriented face recognition library with many model implementations and no attribute analysis.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
when you want a minimal legacy Python module for the same recognition-plus-attributes tasks and can tolerate unmaintained code.
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
when you need a JavaScript face-recognition/attribute library in browser/Node and are okay with an archived, older implementation.
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
when you only need focused, efficient emotion recognition without deepface's other face-analysis features.
Efficient face emotion recognition in photos and videos
when you need a widely known JavaScript face detection/recognition API and can accept an unmaintained legacy library.
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
when you want a dedicated facial-expression-recognition toolkit and can accept its AGPL license and older code.
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
when you prefer a self-hosted Docker-based AI service exposing face recognition and other vision APIs rather than an embeddable Python library.
The World's Leading Cross Platform AI Engine for Edge Devices
when you need a ready-made iOS demo for age and gender classification rather than a Python library.
👀 iOS11 demo application for age and gender classification of facial images.
when you need a runnable webcam age/gender detector rather than an embeddable library.
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
when you need a real-time webcam emotion/gender demo rather than a library you integrate yourself.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
when you need a self-hosted face-recognition system with a REST API and UI instead of a code-level library.
Leading free and open-source face recognition system
These projects were analysed and named deepface among their alternatives. The relationship is not symmetric — how deepface rates them is a separate judgement, made when deepface is analysed in its own right.
calls deepface “Choose when you want a maintained Python face-recognition API with multiple model backends and age/gender/emotion attributes.”
The world's simplest facial recognition api for Python and the command line
calls deepface “choose for a maintained Python library that exposes FaceNet and other embedding backends without TF1-era code.”
Face recognition using Tensorflow
calls deepface “Choose it when you need a maintained server-side Python face recognition and attribute analysis library instead of an in-browser JavaScript API.”
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
calls deepface “Python face-recognition library with multiple backends and attribute analysis; choose it when you need an actively maintained API in a Python project rather than Torch code.”
Face recognition with deep neural networks.
calls deepface “Choose it when you need a lightweight Python library embedding current models directly in your code instead of deploying a REST service.”
Leading free and open-source face recognition system