Is Pydata Google Auth Safe?

Pydata Google Auth — Nerq Trust Score 65.8/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-31.

Use Pydata Google Auth with some caution. Pydata Google Auth is a Python package with a Nerq Trust Score of 65.8/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-28. Machine-readable data (JSON).

Is Pydata Google Auth safe?

CAUTION — Pydata Google Auth has a Nerq Trust Score of 65.8/100 (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.

Security Analysis → Pydata Google Auth Privacy Report →

What is Pydata Google Auth's trust score?

Pydata Google Auth has a Nerq Trust Score of 65.8/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
90

What are the key security findings for Pydata Google Auth?

Pydata Google Auth'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+.

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

What is Pydata Google Auth and who maintains it?

AuthorThe PyData Development Team
CategoryPython Packages
SourceN/A

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Safety Guide: Pydata Google Auth

What is Pydata Google Auth?

Pydata Google Auth is a Python package — PyData helpers for authenticating to Google APIs.

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=pydata-google-auth

Key Safety Concerns for Python package

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

Trust Assessment

Pydata Google Auth has a Nerq Trust Score of 66/100 (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

Frequently Asked Questions

Is Pydata Google Auth Safe?
Use with some caution. pydata-google-auth with a Nerq Trust Score of 65.8/100 (B-). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (90/100).
What is Pydata Google Auth's trust score?
pydata-google-auth: 65.8/100 (B-). Score based on Security (90/100), Popularity (90/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=pydata-google-auth
What are safer alternatives to Pydata Google Auth?
In the Python Packages category, more Python packages are being analyzed — check back soon. pydata-google-auth scores 65.8/100.
Does Pydata Google Auth have known vulnerabilities?
Nerq checks Pydata Google Auth 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 Pydata Google Auth actively maintained?
Pydata Google Auth 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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