Is Passagemath Planarity Safe?
Passagemath Planarity — Nerq Trust Score 66.0/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Passagemath Planarity is a Python package with a Nerq Trust Score of 66.0/100 (B-), 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 Passagemath Planarity safe?
Trust Score Breakdown — Passagemath Planarity has a Nerq Trust Score of 66.0/100 (B-). Measured across 2 independent trust signals (as of 2026-07-22).
What is Passagemath Planarity's trust score?
Passagemath Planarity has a Nerq Trust Score of 66.0/100, 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 Passagemath Planarity?
Passagemath Planarity's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Passagemath Planarity and who maintains it?
| Author | Matthias Köppe, passagemath contributors |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Passagemath Planarity
What is Passagemath Planarity?
Passagemath Planarity is a Python package — passagemath: Graph planarity with the edge addition planarity suite.
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=passagemath-planarity
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Passagemath Planarity has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Passagemath Planarity has a Trust Score of 66/100 (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.