Is Passagemath Gsl Safe?
Passagemath Gsl — Nerq Trust Score 60.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-10-01
Passagemath Gsl is a Python package with a Nerq Trust Score of 60.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-10-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-10-01. Machine-readable data (JSON).
Is Passagemath Gsl safe?
Trust Score Breakdown — Passagemath Gsl has a Nerq Trust Score of 60.0/100 (C+). Measured across 2 independent trust signals (as of 2026-10-01).
What is Passagemath Gsl's trust score?
Passagemath Gsl has a Nerq Trust Score of 60.0/100, 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 Passagemath Gsl?
Passagemath Gsl's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Passagemath Gsl and who maintains it?
| Author | Matthias Köppe, passagemath contributors |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Passagemath Gsl
What is Passagemath Gsl?
Passagemath Gsl is a Python package — passagemath: Numerics with the GNU Scientific Library.
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-gsl
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Passagemath Gsl has a Nerq Trust Score of 60/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Passagemath Gsl has a Trust Score of 60/100 (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.