Ross ROSS = Recommend OSS · open-source software intelligence for agents

deepinsight/insightface

State-of-the-art 2D and 3D Face Analysis Project observed · 2026-10-12

github.com/deepinsight/insightface · homepage · Python observed · 2026-10-12

Health v2 · maintenance only

85/100

  • Activity 98
  • Release rhythm 61
  • Longevity 100

Flags: no_license

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: 3337
  • days_rel: 47
  • days_push: 16
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

29939 stars · 6107 forks observed · 2026-10-12

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.97

InsightFace is an open-source Python library for state-of-the-art 2D and 3D face analysis, including detection, recognition, alignment, swapping, and optional liveness detection. It also provides a self‑hosted server and CLI tools for video privacy and large‑scale face search.

Use cases

  • detect faces in images or video streams
  • recognize and compare faces for authentication or identity verification
  • align facial landmarks for preprocessing in computer‑vision pipelines
  • swap faces or apply privacy blurring/mosaic in video content
  • run liveness checks to prevent spoofing attacks
  • search millions of face embeddings on a single GPU
  • integrate face analysis into Python applications via a simple API

When to choose

  • You need a high‑accuracy, production‑ready face analysis solution with multiple model options.
  • You prefer a Python‑centric library that works on CPU, CUDA, or CoreML without writing low‑level code.
  • You want an easy‑to‑deploy self‑hosted server or CLI for batch processing and video privacy.

When to avoid

  • You require a fully commercial license for the models without contacting the InsightFace team.
  • You need a non‑Python implementation or deep integration with other languages.
  • Your use case demands real‑time processing on low‑power edge devices without GPU support.

Facets

library · maturity active

computer-vision image-processing nlp cli artificial-intelligence computer-vision data-science python windows arcface retinaface inswapper privateframe face-analysis onnx sqlite server cli linux docker

4 sources

Member repositories

RepositoryRoleHealth v2
deepinsight/insightfacemain85

For agents

markdown · JSON · MCP: product_card(name="deepinsight/insightface")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem