Is Cf Json Safe?
Cf Json — Nerq Trust Score 57.5/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cf Json is a Python package with a Nerq Trust Score of 57.5/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Cf Json safe?
Trust Score Breakdown — Cf Json has a Nerq Trust Score of 57.5/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cf Json's trust score?
Cf Json has a Nerq Trust Score of 57.5/100, 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 Cf Json?
Cf Json's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cf Json and who maintains it?
| Author | Keir Rice |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Cf Json
What is Cf Json?
Cf Json is a Python package — JSON with extensions to support serialization for common types.
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=cf-json
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cf Json has a Nerq Trust Score of 58/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cf Json has a Trust Score of 58/100 (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.