Is Bayesian Average Safe?

Bayesian Average — Nerq Trust Score 48.2/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-08-01.

Exercise caution with Bayesian Average. Bayesian Average is a Python package with a Nerq Trust Score of 48.2/100 (D), 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: 2026-03-25. Machine-readable data (JSON).

Is Bayesian Average safe?

NO — USE WITH CAUTION — Bayesian Average has a Nerq Trust Score of 48.2/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Bayesian Average Privacy Report →

What is Bayesian Average's trust score?

Bayesian Average has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
0

What are the key security findings for Bayesian Average?

Bayesian Average'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+.

Security score: 90/100 (strong)
Popularity: 0/100 — community adoption

What is Bayesian Average and who maintains it?

AuthorMarleen Maxton, Martino Trassinelli
CategoryPython Packages
SourceN/A

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Safety Guide: Bayesian Average

What is Bayesian Average?

Bayesian Average is a Python package — __doc__.

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=bayesian-average

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Bayesian Average has a Nerq Trust Score of 48/100 (D) 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

Frequently Asked Questions

Is Bayesian Average Safe?
Exercise caution. bayesian-average with a Nerq Trust Score of 48.2/100 (D). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Bayesian Average's trust score?
bayesian-average: 48.2/100 (D). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=bayesian-average
What are safer alternatives to Bayesian Average?
In the Python Packages category, more Python packages are being analyzed — check back soon. bayesian-average scores 48.2/100.
Does Bayesian Average have known vulnerabilities?
Nerq checks Bayesian Average against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Bayesian Average actively maintained?
Bayesian Average maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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