> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-serverless-sft-revamp.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Integrations overview

> Explore W&B integrations with ML frameworks, cloud platforms, and workflow orchestration tools

W\&B integrates with popular machine learning frameworks, cloud platforms, and workflow orchestration tools to help you track experiments, log metrics, and manage models seamlessly.

## Getting started

If you're looking to integrate W\&B with a library not listed here, see [Add W\&B to any library](/models/integrations/add-wandb-to-any-library) for best practices and implementation guidance.

## ML frameworks and libraries

### ML frameworks

Integrate W\&B with popular machine learning frameworks:

* [Catalyst](/models/integrations/catalyst)
* [DeepChem](/models/integrations/deepchem)
* [DSPy](/models/integrations/dspy)
* [Keras](/models/integrations/keras)
* [LightGBM](/models/integrations/lightgbm)
* [MMEngine](/models/integrations/mmengine)
* [MMF](/models/integrations/mmf)
* [PaddleDetection](/models/integrations/paddledetection)
* [PaddleOCR](/models/integrations/paddleocr)
* [PyTorch Lightning](/models/integrations/lightning)
* [PyTorch Ignite](/models/integrations/ignite)
* [Skorch](/models/integrations/skorch)
* [TensorFlow](/models/integrations/tensorflow)
* [XGBoost](/models/integrations/xgboost)

### ML libraries

Extend your workflow with these ML libraries:

* [Deepchecks](/models/integrations/deepchecks)
* [Hugging Face](/models/integrations/huggingface)
* [Diffusers](/models/integrations/diffusers)
* [AutoTrain](/models/integrations/autotrain)
* [Fast.ai](/models/integrations/fastai)
* [Fast.ai v1](/models/integrations/fastai/v1)
* [Composer](/models/integrations/composer)
* [OpenAI Gym](/models/integrations/openai-gym)
* [Prodigy](/models/integrations/prodigy)
* [PyTorch Geometric](/models/integrations/pytorch-geometric)
* [TorchTune](/models/integrations/torchtune)
* [Scikit-learn](/models/integrations/scikit)
* [Simple Transformers](/models/integrations/simpletransformers)
* [spaCy](/models/integrations/spacy)
* [Stable Baselines 3](/models/integrations/stable-baselines-3)
* [Ultralytics](/models/integrations/ultralytics)

## Cloud platforms

Deploy and train models on cloud platforms with W\&B:

* [Amazon SageMaker](/models/integrations/sagemaker)
* [Databricks](/models/integrations/databricks)
* [Azure OpenAI Fine-tuning](/models/integrations/azure-openai-fine-tuning)
* [OpenAI Fine-tuning](/models/integrations/openai-fine-tuning)
* [Cohere Fine-tuning](/models/integrations/cohere-fine-tuning)
* [OpenAI API](/models/integrations/openai-api)
* [NVIDIA NIM](/models/integrations/nim)

## Workflow orchestration

Integrate W\&B with workflow orchestration tools:

* [Kubeflow Pipelines (KFP)](/models/integrations/kubeflow-pipelines-kfp)
* [Metaflow](/models/integrations/metaflow)
* [Dagster](/models/integrations/dagster)
* [Hydra](/models/integrations/hydra)

## Other integrations

Additional tools and integrations:

* [Docker](/models/integrations/docker)
* [TensorBoard](/models/integrations/tensorboard)
* [W\&B for Julia](/models/integrations/w-and-b-for-julia)
* [YOLOX](/models/integrations/yolox)
* [YOLOv5](/models/integrations/yolov5)
