DeepFace
Some data may be outdated — see provenance labels.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python observed · 2026-09-28
Health v2 · maintenance only
93/100
- Activity 97
- Release rhythm 83
- 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: 51
- age_days: 2446
- days_rel: 34
- days_push: 23
- n_releases_24m: 8
Adoption not part of the score
23482 stars · 3180 forks observed · 2026-09-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.98
DeepFace is a lightweight Python library for face recognition and facial attribute analysis. It provides pre‑trained models to estimate age, gender, emotion, and race from images.
Use cases
- Identify and verify individuals in photos or video streams
- Estimate a person's age, gender, emotion, or race for demographic analysis
- Add facial attribute detection to a web or mobile app
- Perform real‑time face matching for security or attendance systems
- Enhance user experience by adapting content based on detected emotions
When to choose
- You need a simple, ready‑to‑use solution with pre‑trained models
- Your project is Python‑based and you prefer a single dependency
- You require both face recognition and attribute analysis in one library
When to avoid
- You need ultra‑high accuracy or custom model training beyond the provided models
- Your environment has strict performance constraints and requires a lightweight C++ implementation
- You need deep integration with non‑Python ecosystems
Facets
library · maturity active
image-processing computer-vision machine-learning deep-learning artificial-intelligence computer-vision deep-learning python face-recognition age-prediction gender-prediction emotion-recognition race-classification
1 source
- readme: https://github.com/serengil/deepface · fetched 2026-09-28 · a052df7e6a46
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| serengil/deepface | main | 93 |
| serengil/deepface-react-ui | frontend | 58 |
| serengil/deepface_models | infra | 65 |
For agents
markdown · JSON · MCP: product_card(name="serengil/deepface")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem