Is Pytest Metadata Safe?
Pytest Metadata — Nerq Trust Score 66.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Pytest Metadata is a Python package (pytest plugin for test session metadata) with a Nerq Trust Score of 66.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Pytest Metadata safe?
Trust Score Breakdown — Pytest Metadata has a Nerq Trust Score of 66.8/100 (B-). Measured across 2 independent trust signals (as of 2026-08-11).
What is Pytest Metadata's trust score?
Pytest Metadata has a Nerq Trust Score of 66.8/100, 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 Pytest Metadata?
Pytest Metadata's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pytest Metadata and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytest Metadata
What is Pytest Metadata?
Pytest Metadata is a Python package — pytest plugin for test session metadata.
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=pytest-metadata
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pytest Metadata has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pytest Metadata has a Trust Score of 67/100 (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
Is Pytest Metadata Safe?
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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.