Is Pytest Integration Mark Safe?
Pytest Integration Mark — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Pytest Integration Mark is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Pytest Integration Mark safe?
Trust Score Breakdown — Pytest Integration Mark has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Pytest Integration Mark's trust score?
Pytest Integration Mark has a Nerq Trust Score of 62.2/100, 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 Integration Mark?
Pytest Integration Mark's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pytest Integration Mark and who maintains it?
| Author | Saulius Beinorius |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytest Integration Mark
What is Pytest Integration Mark?
Pytest Integration Mark is a Python package — Automatic integration test marking and excluding plugin for 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-integration-mark
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pytest Integration Mark has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pytest Integration Mark has a Trust Score of 62/100 (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.