Is Pyodbc Safe?

Pyodbc — Nerq Trust Score 75.0/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-29.

Yes, Pyodbc is safe to use. Pyodbc is a Python package with a Nerq Trust Score of 75.0/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-28. Machine-readable data (JSON).

Is Pyodbc safe?

YES — Pyodbc has a Nerq Trust Score of 75.0/100 (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.

Security Analysis → Pyodbc Privacy Report →

What is Pyodbc's trust score?

Pyodbc has a Nerq Trust Score of 75.0/100, earning a B+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
100

What are the key security findings for Pyodbc?

Pyodbc's strongest signal is popularity at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 100/100 — community adoption

What is Pyodbc and who maintains it?

AuthorMichael Kleehammer
CategoryPython Packages
SourceN/A

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Safety Guide: Pyodbc

What is Pyodbc?

Pyodbc is a Python package — DB API module for ODBC.

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=pyodbc

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Pyodbc has a Nerq Trust Score of 75/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Pyodbc Safe?
Yes, it is safe to use. pyodbc with a Nerq Trust Score of 75.0/100 (B+). Strongest signal: popularity (100/100). Score based on Security (90/100), Popularity (100/100).
What is Pyodbc's trust score?
pyodbc: 75.0/100 (B+). Score based on Security (90/100), Popularity (100/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=pyodbc
What are safer alternatives to Pyodbc?
In the Python Packages category, more Python packages are being analyzed — check back soon. pyodbc scores 75.0/100.
Does Pyodbc have known vulnerabilities?
Nerq checks Pyodbc against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Pyodbc actively maintained?
Pyodbc maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

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.

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