The best FedML alternatives

BentoML

bentoml/BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Choose BentoML if…

• you want the more widely starred option (8.9k)
• you want the more recently updated codebase
• you specifically need ai-inference or generative-ai

Shares deep-learning, machine-learning, mlops, model-serving with FedML.

metaflow

Netflix/metaflow

Build, Manage and Deploy AI/ML Systems

Choose metaflow if…

• you want the more widely starred option (10.3k)
• you want the more recently updated codebase
• you specifically need agents or ai

Shares distributed-training, machine-learning, mlops with FedML.

flower

flwrlabs/flower

Flower: A Friendly Federated AI Framework

Choose flower if…

• you want the more widely starred option (7.2k)
• you want the more recently updated codebase
• you specifically need ai or android

Shares deep-learning, federated-learning, machine-learning with FedML.

serve

jina-ai/serve

☁️ Build multimodal AI applications with cloud-native stack

Choose serve if…

• you want the more widely starred option (21.8k)
• you specifically need cloud-native or cncf

Shares deep-learning, machine-learning, mlops with FedML.

Bindu

GetBindu/Bindu

Bindu: The identity, communication, and payments layer for AI agents.

Choose Bindu if…

• you want the more widely starred option (10.0k)
• you want the more recently updated codebase
• you specifically need a2a or agent-communication

Shares ai-agent, machine-learning with FedML.

LazyLLM

LazyAGI/LazyLLM

Easiest and laziest way for building multi-agent LLMs applications.

Choose LazyLLM if…

• you want the more recently updated codebase
• you specifically need agents or data

Shares ai-agent, deep-learning with FedML.

transformers

huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Choose transformers if…

• you want the more widely starred option (168.5k)
• you want the more recently updated codebase
• you specifically need audio or deepseek

Shares deep-learning, machine-learning with FedML.

ray

ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Choose ray if…

• you want the more widely starred option (44.2k)
• you want the more recently updated codebase
• you specifically need data-science or deployment

Shares deep-learning, machine-learning with FedML.

kornia

kornia/kornia

🐍 Geometric Computer Vision Library for Spatial AI

Choose kornia if…

• you want the more widely starred option (12.3k)
• you want the more recently updated codebase
• you specifically need artificial-intelligence or computer-vision

Shares deep-learning, machine-learning with FedML.

sonnet

google-deepmind/sonnet

TensorFlow-based neural network library

Choose sonnet if…

• you want the more widely starred option (10.0k)
• you want the more recently updated codebase
• you specifically need artificial-intelligence or neural-networks

Shares deep-learning, machine-learning with FedML.

stanza

stanfordnlp/stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Choose stanza if…

• you want the more widely starred option (7.9k)
• you want the more recently updated codebase
• you specifically need artificial-intelligence or corenlp

Shares deep-learning, machine-learning with FedML.

DeepPavlov

deeppavlov/DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

Choose DeepPavlov if…

• you want the more widely starred option (7.0k)
• you specifically need ai or artificial-intelligence

Shares deep-learning, machine-learning with FedML.