The best deepface alternatives

7 tools that do a similar job to deepface, 7 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.

You're replacing

deepface

Python library for face verification, face search, and estimating age, gender, emotion and race from photos.

1. 1

   face_recognition

   Open source · MIT · ★ 56.9k

   A Python library and command-line tool for finding and recognizing faces in photos.

   Best for: Python developers prototyping photo sorting or face matching; Hobbyists who want to label people across a folder of personal photos

   Full review deepface vs face_recognition
2. 2

   face-api.js

   Open source · MIT · ★ 18k

   JavaScript library that detects faces and recognizes facial features in browsers and Node.js.

   Best for: Web developers adding face detection to a browser page; Developers building webcam demos that track faces or expressions

   Full review deepface vs face-api.js
3. 3

   ONNX Runtime

   Open source · MIT · ★ 22.2k

   A cross-platform library for running and training machine learning models quickly.

   Best for: Developers who want to deploy a trained model inside an application or service; Teams running the same model across Windows, Linux, macOS, or ARM devices

   Full review
4. 4

   Recommenders

   Open source · MIT · ★ 22k

   Python notebooks and utilities for building and testing recommendation systems.

   Best for: Data scientists prototyping recommendation models; Developers who want working examples of common recommendation algorithms

   Full review
5. 5

   imgaug

   Open source · MIT · ★ 14.7k

   Python library that creates many slightly altered copies of training images for machine learning.

   Best for: Machine learning engineers training image models on a limited dataset; Researchers who need augmentations that keep labels such as bounding boxes or keypoints aligned

   Full review
6. 6

   Weights & Biases

   Open source · MIT · ★ 11.3k

   Python library to track, visualize, and manage machine learning experiments and models.

   Best for: Machine learning engineers who want to compare training runs over time; Researchers tuning hyperparameters across many experiments

   Full review
7. 7

   Petals

   Open source · MIT · ★ 10.7k

   Run big language models by sharing the work across volunteers' GPUs, BitTorrent-style.

   Best for: Developers who want to experiment with large open models like Llama 3.1 or BLOOM without owning the hardware to run them alone; Researchers prompt-tuning large models on their own tasks

   Full review

How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to deepface. We don't take payment for placement.