Is Bio2Bel Mesh Safe?
Bio2Bel Mesh — Nerq Trust Score 53.5/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Bio2Bel Mesh is a Python package with a Nerq Trust Score of 53.5/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Bio2Bel Mesh safe?
Trust Score Breakdown — Bio2Bel Mesh has a Nerq Trust Score of 53.5/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Bio2Bel Mesh's trust score?
Bio2Bel Mesh has a Nerq Trust Score of 53.5/100, 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 Bio2Bel Mesh?
Bio2Bel Mesh's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bio2Bel Mesh and who maintains it?
| Author | Charles Tapley Hoyt |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Bio2Bel Mesh
What is Bio2Bel Mesh?
Bio2Bel Mesh is a Python package — A package for converting MeSH to BEL.
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=bio2bel-mesh
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bio2Bel Mesh has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bio2Bel Mesh has a Trust Score of 54/100 (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.