Is Choice Learn Safe?
Choice Learn — Nerq Trust Score 56.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Choice Learn is a Python package with a Nerq Trust Score of 56.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Choice Learn safe?
Trust Score Breakdown — Choice Learn has a Nerq Trust Score of 56.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Choice Learn's trust score?
Choice Learn has a Nerq Trust Score of 56.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Choice Learn?
Choice Learn's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Choice Learn and who maintains it?
| Author | Vincent Auriau |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Choice Learn
What is Choice Learn?
Choice Learn is a Python package — Large-scale choice modeling through the lens of machine learning..
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=choice-learn
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Choice Learn has a Nerq Trust Score of 56/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Choice Learn has a Trust Score of 56/100 (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.
Frequently Asked Questions
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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.