Is Databricks Google Sheets Safe?
Databricks Google Sheets — Nerq Trust Score 57.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Databricks Google Sheets is a Python package with a Nerq Trust Score of 57.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Databricks Google Sheets safe?
Trust Score Breakdown — Databricks Google Sheets has a Nerq Trust Score of 57.2/100 (C). Measured across 2 independent trust signals (as of 2026-07-22).
What is Databricks Google Sheets's trust score?
Databricks Google Sheets has a Nerq Trust Score of 57.2/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Databricks Google Sheets?
Databricks Google Sheets's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Databricks Google Sheets and who maintains it?
| Author | Vijay Balasubramaniam |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Databricks Google Sheets
What is Databricks Google Sheets?
Databricks Google Sheets is a Python package — Interact with Google Sheets from Databricks.
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=databricks-google-sheets
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Databricks Google Sheets has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Databricks Google Sheets has a Trust Score of 57/100 (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.
Frequently Asked Questions
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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.