Is Biasmetrics Safe?

Biasmetrics — Nerq Trust Score 54.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Biasmetrics is a Python package with a Nerq Trust Score of 54.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Safety Guide: Biasmetrics

What is Biasmetrics?

Biasmetrics is a Python package — Set of classification metrics to determine bias in underrepresented subpopulations..

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=biasMetrics

Key Safety Concerns for Python package

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

Measured Signals

Biasmetrics has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Biasmetrics has a Trust Score of 54/100 (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.