Is Scoring Matrices Safe?

Scoring Matrices — Nerq Trust Score 61.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01

Scoring Matrices is a Python package with a Nerq Trust Score of 61.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).

Safety Guide: Scoring Matrices

What is Scoring Matrices?

Scoring Matrices is a Python package — Dependency free, Cython-compatible scoring matrices to use with biological sequences..

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=scoring-matrices

Key Safety Concerns for Python package

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

Measured Signals

Scoring Matrices has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Scoring Matrices has a Trust Score of 61/100 (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.