What is FedML?

55/100
Trust Score (D)
⚠️ Use Caution

FedML is a AI tool that FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a. It has a Nerq Trust Score of 55/100 (D). 4.0K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

55
TRUST SCORE
D
GRADE
4.0K
STARS
0
DOWNLOADS

What FedML Does

FedML is a agent in the AI tool category. FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) i. It is published by an independent developer and has no specified license. With 4.0K GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use FedML

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

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typeagent
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=fedml-ai-fedml

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

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Frequently Asked Questions

What is FedML used for?
FedML is a AI tool tool. FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a.
Is FedML free?
License: Check project page. FedML has 4.0K GitHub stars.
Is FedML safe?
FedML has a Nerq Trust Score of 55/100 (D). Use with caution.
What are alternatives to FedML?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.

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

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