What is decision-forests?

66/100
Trust Score (C)
⚠️ Use Caution

decision-forests is a AI tool that A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.. It has a Nerq Trust Score of 66/100 (C). 694 GitHub stars. Published by Unknown. Last analyzed August 2026.

Why This Score

Trust & Safety Overview

66
TRUST SCORE
C
GRADE
694
STARS
0
DOWNLOADS

What decision-forests Does

decision-forests is a tool in the AI tool category. A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.. It is published by an independent developer and has no specified license. With 694 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use decision-forests

decision-forests 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=tensorflow-decision-forests

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

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Frequently Asked Questions

What is decision-forests used for?
decision-forests is a AI tool tool. A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras..
Is decision-forests free?
License: Check project page. decision-forests has 694 GitHub stars.
Is decision-forests safe?
decision-forests has a Nerq Trust Score of 66/100 (C). Use with caution.
What are alternatives to decision-forests?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

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