Is Bayesian2D Safe?
Bayesian2D — Nerq Trust Score 60.5/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-12.
Use Bayesian2D with some caution. Bayesian2D is a Python package with a Nerq Trust Score of 60.5/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Bayesian2D safe?
CAUTION — Bayesian2D has a Nerq Trust Score of 60.5/100 (C+). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Bayesian2D's trust score?
Bayesian2D has a Nerq Trust Score of 60.5/100, 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 Bayesian2D?
Bayesian2D's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Bayesian2D and who maintains it?
| Author | Juhan Raidal |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Bayesian2D
What is Bayesian2D?
Bayesian2D is a Python package — Package used to find the maximum or minimum of any 2D function using Bayesian optimization.
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=Bayesian2D
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Bayesian2D has a Nerq Trust Score of 60/100 (C+) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Bayesian2D has a Trust Score of 60/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.