AgentIndex icon
AgentIndex
E2B logo
E2B
★ 14.6k
vs
FedML logo
FedML
★ 4.1k

E2B vs FedML

E2B: E2B is an open-source infrastructure that enables running AI-generated code securely in isolated cloud sandboxes. It provides JavaScript and Python SDKs to start and control these sandboxes for AI applications.; FedML: FedML is a unified and scalable open-source machine learning library powered by TensorOpera AI, enabling training and deployment of AI jobs anywhere at any scale. It offers holistic support for MLOps, scheduling, and high-performance ML libraries, including federated learning, distributed training, and generative AI functionalities.

01

TL;DR

E2B logo
E2BLLM Infra · ★ 14.6k

Executing code generated by large language models (LLMs)

Read E2B full review →
FedML logo
FedMLLLM Infra · ★ 4.1k

Distributed training and fine-tuning of large models (including LLMs)

Read FedML full review →
02

Side-by-Side Comparison

Field
E2B logoE2B
FedML logoFedML
Category
LLM Infra
LLM Infra
Stars
★ 14.6k
★ 4.1k
License
Apache-2.0
Apache-2.0
Install Command
pip install e2b
git clone https://github.com/FedML-AI/FedML.git
Updated
1d ago
1y ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Code Generation, Sandboxing, SDK
Federated Learning, MLOps, Distributed Training
03

Features

E2B logoE2B
01Open-source infrastructure for AI code execution
02Secure isolated cloud sandboxes
03Execute AI-generated code safely
04Available with JavaScript and Python SDKs
05Self-hosting capabilities on major cloud providers
FedML logoFedML
01Unified and scalable ML library
02Support for Generative AI and LLMs (fine-tuning, deployment)
03Federated Learning platform (on-device, cross-cloud)
04Distributed Training for large and foundational models
05Model serving platform for high scalability and low latency
04

Use Cases

E2B logoE2B
↳Executing code generated by large language models (LLMs)
↳Integrating secure code execution into AI applications
↳Developing AI agents that require isolated runtime environments
FedML logoFedML
↳Distributed training and fine-tuning of large models (including LLMs)
↳Scalable deployment and serving of AI models
↳Federated learning across various decentralized environments
05

Best For

E2B logoE2B
Most PopularEssentialTrending
FedML logoFedML
Essential
FAQ

FAQ

What is the difference between E2B and FedML?
Both E2B and FedML are in the LLM Infra category. E2B has 14.6k stars, while FedML has 4.1k stars.
Which is better, E2B or FedML?
The best choice depends on your use case. Choose E2B if Executing code generated by large language models (LLMs), and FedML if Distributed training and fine-tuning of large models (including LLMs).
Is E2B free or open source?
Yes, E2B is open source on GitHub (Apache-2.0).
Is FedML free or open source?
Yes, FedML is open source on GitHub (Apache-2.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to E2B →Alternatives to FedML →E2B details →FedML details →