Is 21Cmfast Safe?
21Cmfast — Nerq Trust Score 59.8/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
21Cmfast is a Python package with a Nerq Trust Score of 59.8/100 (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 21Cmfast safe?
Trust Score Breakdown — 21Cmfast has a Nerq Trust Score of 59.8/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is 21Cmfast's trust score?
21Cmfast has a Nerq Trust Score of 59.8/100, 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 21Cmfast?
21Cmfast's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is 21Cmfast and who maintains it?
| Author | The 21cmFAST coredev team |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: 21Cmfast
What is 21Cmfast?
21Cmfast is a Python package — A semi-numerical cosmological simulation code for the 21cm signal.
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=21cmFAST
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
21Cmfast 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
- 21Cmfast 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.