Is Bigquery Schema Coerce Safe?

Bigquery Schema Coerce — Nerq Trust Score 50.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25

Bigquery Schema Coerce is a Python package with a Nerq Trust Score of 50.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).

Safety Guide: Bigquery Schema Coerce

What is Bigquery Schema Coerce?

Bigquery Schema Coerce is a Python package — Force python dictionary to type convert and project onto the given schema.

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=bigquery-schema-coerce

Key Safety Concerns for Python package

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

Measured Signals

Bigquery Schema Coerce has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Bigquery Schema Coerce has a Trust Score of 50/100 (C-).
• The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
• Query the current measured values via the Nerq API.

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.