What is BayGPGO?

54/100
Trust Score (C-)
⚠️ Use Caution

BayGPGO is a pypi that Bayesian Optimization with Gaussian Process as surrogate model. It has a Nerq Trust Score of 54/100 (C-). 0 GitHub stars. Published by Cristian Gabellini. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

54
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What BayGPGO Does

BayGPGO is a pypi in the pypi category. Bayesian Optimization with Gaussian Process as surrogate model. It is published by Cristian Gabellini and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use BayGPGO

BayGPGO is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorCristian Gabellini
Categorypypi
LicenseNot specified
Typepypi
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=baygpgo

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is BayGPGO used for?
BayGPGO is a pypi tool. Bayesian Optimization with Gaussian Process as surrogate model.
Is BayGPGO free?
License: Check project page. BayGPGO has 0 GitHub stars.
Is BayGPGO safe?
BayGPGO has a Nerq Trust Score of 54/100 (C-). Use with caution.
What are alternatives to BayGPGO?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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