Is Archives Safe?
Archives — Nerq Trust Score 55.8/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Archives is a Python package (a new way to do python code documentation) with a Nerq Trust Score of 55.8/100 (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 Archives safe?
Trust Score Breakdown — Archives has a Nerq Trust Score of 55.8/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Archives's trust score?
Archives has a Nerq Trust Score of 55.8/100, 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 Archives?
Archives's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Archives and who maintains it?
| Author | Jacobi Petrucciani |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Archives
What is Archives?
Archives is a Python package — a new way to do python code documentation.
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=archives
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Archives has a Nerq Trust Score of 56/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Archives has a Trust Score of 56/100 (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.