Is Chdb Safe?
Chdb — Nerq Trust Score 75.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Chdb is a Python package with a Nerq Trust Score of 75.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 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).
Is Chdb safe?
Trust Score Breakdown — Chdb has a Nerq Trust Score of 75.0/100 (B+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Chdb's trust score?
Chdb has a Nerq Trust Score of 75.0/100, earning a B+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Chdb?
Chdb's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Chdb and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Chdb Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Chdb
What is Chdb?
Chdb is a Python package — chDB is an in-process OLAP SQL Engine powered by ClickHouse.
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=chdb
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Chdb has a Nerq Trust Score of 75/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Chdb has a Trust Score of 75/100 (B+).
- 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.