Is Pytest Mock Safe?
Pytest Mock — Nerq Trust Score 77.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Pytest Mock is a Python package with a Nerq Trust Score of 77.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Pytest Mock safe?
Trust Score Breakdown — Pytest Mock has a Nerq Trust Score of 77.0/100 (B+). Measured across 2 independent trust signals (as of 2026-08-11).
What is Pytest Mock's trust score?
Pytest Mock has a Nerq Trust Score of 77.0/100, 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 Pytest Mock?
Pytest Mock's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Pytest Mock and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytest Mock
What is Pytest Mock?
Pytest Mock is a Python package — Thin-wrapper around the mock package for easier use with pytest.
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-mock
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pytest Mock has a Nerq Trust Score of 77/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pytest Mock has a Trust Score of 77/100 (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.