AgentIndex icon
AgentIndex
FedML logo
FedML
★ 4.1k
vs
lemonade logo
lemonade
★ 6.0k

FedML vs lemonade

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.; lemonade: Lemonade is an SDK designed to help users discover and run local AI applications by serving optimized Large Language Models directly from their GPUs and NPUs. It offers acceleration for various hardware, supports multiple model formats, and integrates with popular AI apps via an OpenAI-compatible API.

01

TL;DR

FedML logo
FedMLLLM Infra · ★ 4.1k

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

Read FedML full review →
lemonade logo
lemonadeLLM Infra · ★ 6.0k

Running LLMs locally on personal computers with hardware acceleration

Read lemonade full review →
02

Side-by-Side Comparison

Field
FedML logoFedML
lemonade logolemonade
Category
LLM Infra
LLM Infra
Stars
★ 4.1k
★ 6.0k
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/FedML-AI/FedML.git
snap install lemonade-server
Updated
12mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Federated Learning, MLOps, Distributed Training
LLMs, Local AI, GPU Acceleration
03

Features

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
lemonade logolemonade
01Optimized local LLM serving with GPU and NPU acceleration
02Discover and run various local AI applications
03Supports GGUF, FLM, and ONNX model formats with a built-in Model Manager
04Integrated image generation using Stable Diffusion models
05OpenAI-compatible API for seamless integration with client libraries
04

Use Cases

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
lemonade logolemonade
↳Running LLMs locally on personal computers with hardware acceleration
↳Integrating local AI capabilities into existing applications (e.g., n8n, VS Code Copilot)
↳Experimenting with different AI models via a built-in chat interface
↳Developing AI applications that require local model inference and image generation
↳Deploying optimized LLMs on various platforms including desktop and mobile
05

Best For

FedML logoFedML
Essential
lemonade logolemonade
—
FAQ

FAQ

What is the difference between FedML and lemonade?
Both FedML and lemonade are in the LLM Infra category. FedML has 4.1k stars, while lemonade has 6.0k stars.
Which is better, FedML or lemonade?
The best choice depends on your use case. Choose FedML if Distributed training and fine-tuning of large models (including LLMs), and lemonade if Running LLMs locally on personal computers with hardware acceleration.
Is FedML free or open source?
Yes, FedML is open source on GitHub (Apache-2.0).
Is lemonade free or open source?
Yes, lemonade is open source on GitHub (Apache-2.0).
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Related

Alternatives to FedML →Alternatives to lemonade →FedML details →lemonade details →