Is Pyhf Safe?
Pyhf — Nerq Trust Score 65.0/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-10-01
Pyhf is a Python package with a Nerq Trust Score of 65.0/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-10-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-10-01. Machine-readable data (JSON).
Is Pyhf safe?
Trust Score Breakdown — Pyhf has a Nerq Trust Score of 65.0/100 (B-). Measured across 2 independent trust signals (as of 2026-10-01).
What is Pyhf's trust score?
Pyhf has a Nerq Trust Score of 65.0/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Pyhf?
Pyhf's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pyhf and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pyhf
What is Pyhf?
Pyhf is a Python package — pure-Python HistFactory implementation with tensors and autodiff.
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=pyhf
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pyhf has a Nerq Trust Score of 65/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pyhf has a Trust Score of 65/100 (B-).
- 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.