Is A Un Safe?
A Un — Nerq Trust Score 40.1/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.
Exercise caution with A Un. A Un is a Python package with a Nerq Trust Score of 40.1/100 (D), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 80/100. Popularity: 12/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Machine-readable data (JSON).
Is A Un safe?
NO — USE WITH CAUTION — A Un has a Nerq Trust Score of 40.1/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is A Un's trust score?
A Un has a Nerq Trust Score of 40.1/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for A Un?
A Un's strongest signal is security at 80/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is A Un and who maintains it?
| Author | Izhar Firdaus |
| Category | pypi |
| Source | N/A |
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Safety Guide: A Un
What is A Un?
A Un is a Python package — A simple license key 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=a-un
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
A Un has a Nerq Trust Score of 40/100 (D) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- A Un has a Trust Score of 40/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.