Is Agate Sql Safe?
Agate Sql — Nerq Trust Score 67.0/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-07.
Use Agate Sql with some caution. Agate Sql is a Python package (agate-sql adds SQL read/write support to agate) with a Nerq Trust Score of 67.0/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Agate Sql safe?
CAUTION — Agate Sql has a Nerq Trust Score of 67.0/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Agate Sql's trust score?
Agate Sql has a Nerq Trust Score of 67.0/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Agate Sql?
Agate Sql's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Agate Sql and who maintains it?
| Author | Christopher Groskopf |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Agate Sql
What is Agate Sql?
Agate Sql is a Python package — agate-sql adds SQL read/write support to agate..
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=agate-sql
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agate Sql has a Nerq Trust Score of 67/100 (B-) 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
- Agate Sql has a Trust Score of 67/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 69/100 |
| Popularity | 60/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Agate Sql collect?
Privacy assessment for Agate Sql is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Agate Sql secure?
Security score: 90/100. Agate Sql has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, allowing code inspection. 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: Agate Sql Security Report
How we calculated this score
Agate Sql's trust score of 67.0/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (69/100), popularity (60/100), quality (65/100), community (35/100). 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 May 07, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Agate Sql Safe?
What is Agate Sql's trust score?
What are safer alternatives to Agate Sql?
Does Agate Sql have known vulnerabilities?
Is Agate Sql actively maintained?
Popular in Python Packages
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.