Is Pytest Manual Marker Safe?
Pytest Manual Marker — Nerq Trust Score 57.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Pytest Manual Marker is a Python package (pytest marker for marking manual tests) with a Nerq Trust Score of 57.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Pytest Manual Marker safe?
Trust Score Breakdown — Pytest Manual Marker has a Nerq Trust Score of 57.2/100 (C). Measured across 2 independent trust signals (as of 2026-11-01).
What is Pytest Manual Marker's trust score?
Pytest Manual Marker has a Nerq Trust Score of 57.2/100, 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 Pytest Manual Marker?
Pytest Manual Marker's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pytest Manual Marker and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytest Manual Marker
What is Pytest Manual Marker?
Pytest Manual Marker is a Python package — pytest marker for marking manual tests.
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-manual-marker
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pytest Manual Marker has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pytest Manual Marker has a Trust Score of 57/100 (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
Is Pytest Manual Marker 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.