Is Cereb Nest Safe?
Cereb Nest — Nerq Trust Score 54.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cereb Nest is a Python package with a Nerq Trust Score of 54.0/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Cereb Nest safe?
Trust Score Breakdown — Cereb Nest has a Nerq Trust Score of 54.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cereb Nest's trust score?
Cereb Nest has a Nerq Trust Score of 54.0/100, 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 Cereb Nest?
Cereb Nest's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cereb Nest and who maintains it?
| Author | Alice Geminiani |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Cereb Nest
What is Cereb Nest?
Cereb Nest is a Python package — pip installable NEST extension module, generated by pipnest..
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=cereb-nest
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cereb Nest has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cereb Nest has a Trust Score of 54/100 (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.