ai-agent

face_recognition – Fast Python Facial ID for Your Apps (57k+ GitHub stars)

Easily add reliable face detection and recognition to Python projects or CLI workflows. Ideal for founders building security, auth, or AI features without deep ML expertise.
56,806 stars+14★ this week13,679 forksPythonGuide quality 8/10 · reviewed Sep 29Updated 6/25/2026100% free · open source
What it does

Face_recognition is a Python library that provides simple facial recognition capabilities, allowing you to identify and compare faces in images.

When to use it
  • •You need to authenticate users based on their facial identity
  • •You want to automate the process of tagging people in photos
  • •You're building a surveillance system that requires face detection and recognition
Ready-to-paste prompt
python -m face_recognition `face_recognition examples/obama.jpg examples/biden.jpg -e`
Heads up: Make sure you have the dlib library installed, which is a requirement for face_recognition, and also ensure you're using a compatible version of OpenCV, as face_recognition uses it under the hood
Saves to your device
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/face-recognition && curl -fsSL https://workflowstacks.com/api/skills/face-recognition/claude-skill -o ~/.claude/skills/face-recognition/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How face_recognition – Fast Python Facial ID for Your Apps (57k+ GitHub stars) works
Codeflow
Free to inspect

Face_recognition – Fast Python Facial ID for Your Apps (57k+ GitHub stars) is a small Python project (~2.7k lines across 28 code files, plus 2 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 2 months ago, MIT license, has a test suite.

Size
Small codebase
~2.7k lines · 28 code files · 22 min skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python · Docker
No API keys detected
Python 79%Dockerfile 16%Makefile 5%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    face_recognition/__init__.py
    Inside face_recognition/ — the main logic begins here
  4. 4
    examples/alex-lacamoire.png
    A worked example — copy this to get going
What's in each folder
face_recognition/Core code — the actual logic4 files
examples/Examples you can copy50 files
docs/Documentation12 files
docker/Deployment / infrastructure6 files
tests/Tests — proof it works9 files
.github/CI / automation (GitHub Actions)2 files
READMEHas testsDocumentedCI checksDocker readyExamples includedMIT licenseUpdated 2 mo ago
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Details
Creator
ageitgey
Language
Python
Category
ai-agent
Published
3/3/2017

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/face-recognition.svg)](https://workflowstacks.com/skills/face-recognition?utm_source=github&utm_medium=badge)
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