Is Bigframes Safe?
Bigframes is a Python package with a Nerq Trust Score of 77.0/100 (B+). It is 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: 2026-03-23. Machine-readable data (JSON).
Is Bigframes safe?
YES — Bigframes has a Nerq Trust Score of 77.0/100 (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.
Trust Score Breakdown
Key Findings
Details
| Author | Google LLC |
| Category | pypi |
| Source | N/A |
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 packages
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.
Frequently Asked Questions
Is Bigframes safe to use?
What is Bigframes's trust score?
What are safer alternatives to Bigframes?
Does Bigframes have known vulnerabilities?
How actively maintained is Bigframes?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.