Is Apache Airflow Providers Common Sql Safe?
Apache Airflow Providers Common Sql — Nerq Trust Score 74.2/100 (B grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-03.
Yes, Apache Airflow Providers Common Sql is safe to use. Apache Airflow Providers Common Sql is a Python package with a Nerq Trust Score of 74.2/100 (B), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Apache Airflow Providers Common Sql safe?
YES — Apache Airflow Providers Common Sql has a Nerq Trust Score of 74.2/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Apache Airflow Providers Common Sql's trust score?
Apache Airflow Providers Common Sql has a Nerq Trust Score of 74.2/100, 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 Apache Airflow Providers Common Sql?
Apache Airflow Providers Common Sql's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Apache Airflow Providers Common Sql and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Apache Airflow Providers Common Sql
What is Apache Airflow Providers Common Sql?
Apache Airflow Providers Common Sql is a Python package — Provider package apache-airflow-providers-common-sql for Apache Airflow.
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=apache-airflow-providers-common-sql
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Apache Airflow Providers Common Sql has a Nerq Trust Score of 74/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Apache Airflow Providers Common Sql has a Trust Score of 74/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 90/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Apache Airflow Providers Common Sql collect?
Apache Airflow Providers Common Sql is a Python package maintained by Unknown. It receives approximately 8,787,246 weekly downloads.
As a development package, Apache Airflow Providers Common Sql 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: Apache Airflow Providers Common Sql Privacy Report · Privacy review
Is Apache Airflow Providers Common Sql secure?
Security score: 90/100. Apache Airflow Providers Common Sql 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: Apache Airflow Providers Common Sql Security Report
How we calculated this score
Apache Airflow Providers Common Sql's trust score of 74.2/100 (B) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (90/100), quality (40/100), 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 03, 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.