What is paxml?

60/100
Trust Score (C)
⚠️ Use Caution

paxml is a AI tool that Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading. It has a Nerq Trust Score of 60/100 (C). 548 GitHub stars. Published by Unknown. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

60
TRUST SCORE
C
GRADE
548
STARS
0
DOWNLOADS

What paxml Does

paxml is a tool in the AI tool category. Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.. It is published by an independent developer and has no specified license. With 548 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use paxml

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

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typetool
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=google-paxml

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

Safer Alternatives

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openclaw75218.2K
tensorflow62193.9K
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ollama64163.0K

Frequently Asked Questions

What is paxml used for?
paxml is a AI tool tool. Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading.
Is paxml free?
License: Check project page. paxml has 548 GitHub stars.
Is paxml safe?
paxml has a Nerq Trust Score of 60/100 (C). Use with caution.
What are alternatives to paxml?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

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