Is Autophyslearn Safe?

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

Autophyslearn 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: Autophyslearn

What is Autophyslearn?

Autophyslearn is a Python package — A python package for physics constrained machine learning by the M3-learning research group at Drexel University.

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=AutoPhysLearn

Key Safety Concerns for Python package

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

Measured Signals

Autophyslearn 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

• Autophyslearn 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.