Is Aiomysql Safe?
Aiomysql — Nerq Trust Score 49.5/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-03-31.
Exercise caution with Aiomysql. Aiomysql is a Python package with a Nerq Trust Score of 49.5/100 (D), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 65/100. Popularity: 80/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).
Is Aiomysql safe?
NO — USE WITH CAUTION — Aiomysql has a Nerq Trust Score of 49.5/100 (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 Aiomysql's trust score?
Aiomysql has a Nerq Trust Score of 49.5/100, 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 Aiomysql?
Aiomysql's strongest signal is popularity at 80/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Aiomysql and who maintains it?
| Author | Unknown |
| Category | pypi |
| Source | N/A |
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Safety Guide: Aiomysql
What is Aiomysql?
Aiomysql is a Python package — MySQL driver for asyncio..
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=aiomysql
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Aiomysql has a Nerq Trust Score of 50/100 (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
- Aiomysql has a Trust Score of 50/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 65/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Aiomysql collect?
Aiomysql is a Python package maintained by Unknown. It receives approximately 2,792,527 weekly downloads.
As a development package, Aiomysql does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Aiomysql Privacy Report · Privacy review
Is Aiomysql secure?
Security score: 65/100. Aiomysql has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Aiomysql Security Report
How we calculated this score
Aiomysql's trust score of 49.5/100 (D) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (65/100), privacy (80/100), reliability (90/100), transparency (50/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on March 31, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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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.