Is Auto Face Recognition Safe?

Auto Face Recognition — Nerq Trust Score 51.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Auto Face Recognition is a Python package with a Nerq Trust Score of 51.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Auto Face Recognition Across Platforms

Same developer/company in other registries:

Safety Guide: Auto Face Recognition

What is Auto Face Recognition?

Auto Face Recognition is a Python package — auto_face_recognition is Tensorflow based python library for fast face recognition.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=auto-face-recognition

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Auto Face Recognition has a Nerq Trust Score of 51/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Auto Face Recognition has a Trust Score of 51/100 (C-).
• The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
• Query the current measured values via the Nerq API.

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.