Is Bigframes Safe?

Bigframes — Nerq Trust Score 77.0/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-06-15.

Yes, Bigframes is safe to use. Bigframes is a Python package with a Nerq Trust Score of 77.0/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Bigframes Across Platforms

Same developer/company in other registries:

Safety Guide: Bigframes

What is Bigframes?

Bigframes is a Python package — BigQuery DataFrames -- scalable analytics and machine learning with BigQuery.

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=bigframes

Key Safety Concerns for Python package

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

Trust Assessment

Bigframes has a Nerq Trust Score of 77/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Bigframes has a Trust Score of 77/100 (B+).
• Recommended for use — passes trust threshold.
• Always verify independently using the Nerq API.

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.