face_recognition
Some data may be outdated — see provenance labels.
The world's simplest facial recognition api for Python and the command line observed · 2026-10-06
Health v2 · maintenance only
59/100
- Activity 81
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3518
- days_rel: n/a
- days_push: 117
- n_releases_24m: 0
Adoption not part of the score
56796 stars · 13677 forks observed · 2026-10-06
What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99
face_recognition is a Python library that provides simple APIs for detecting, locating, and recognizing human faces in images. It also ships a command‑line tool for batch processing of image folders.
Use cases
- detect faces in a photo collection
- identify known individuals in security footage
- extract facial landmarks for makeup or AR effects
- compare a new image against a database of known faces
- build a face‑based login system for a web app
- automate tagging of people in personal photo albums
When to choose
- You need a quick, easy‑to‑use solution for face detection and recognition in Python.
- Your project can rely on the dlib C++ backend and you are comfortable installing binary wheels.
- You want both a library and a ready‑made CLI for ad‑hoc image processing.
When to avoid
- You require real‑time performance on mobile or embedded devices.
- You need support for GPU acceleration or large‑scale face indexing.
- Your licensing constraints forbid the use of dlib's BSD‑like license.
Facets
library · maturity active
computer-vision image-processing deep-learning artificial-intelligence computer-vision machine-learning python face-recognition dlib cli-tool python3
2 sources
- readme: https://github.com/ageitgey/face_recognition · fetched 2026-10-06 · e886ea96caa8
- registry_pypi: https://pypi.org/pypi/face_recognition/json · fetched 2026-09-07 · 44cd036d4c8c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ageitgey/face_recognition | main | 59 |
| ageitgey/face_recognition_models | infra | 32 |
For agents
markdown · JSON · MCP: product_card(name="ageitgey/face_recognition")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem