Our Misson: Comet is doing for ML what GitHub did for code. We allow data science teams to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

We all strive to be data driven and yet every day valuable experiment results are lost and forgotten. Comet provides a dead simple way of fixing that. It works with any workflow, any ML task, any machine, and any piece of code.

This repository contains examples of using Comet in many Machine Learning Python libraries, including fastai, torch, sklearn, chainer, caffe, keras, tensorflow, mxnet, Jupyter notebooks, and with just pre Python.

If you don't see something you need, just let us know! See contact methods below.

comet-examples/
├── integrations/   # Add Comet to a framework, grouped by ML task
│   ├── model-training/        # PyTorch, Keras, fastai, scikit-learn, XGBoost, Transformers, …
│   ├── model-evaluation/
│   ├── model-optimization/
│   ├── model-deployment/
│   ├── workflow-orchestration/
│   ├── reinforcement-learning/
│   ├── llm/
│   └── data-management/
├── guides/         # How-to notebooks for Comet workflows
├── panels/         # Custom Comet panel (visualization) examples
├── notebooks/      # General/standalone notebooks
└── templates/      # Starter template for new examples

New examples live under integrations/<category>/<framework>/<example-name>/.

Full documentation and additional training examples are available on http://www.comet.com/docs/v2

• Sign up for free!

• Install Comet from PyPI:

pip install comet_ml

Comet Python SDK is compatible with: Python 3.5-3.13.

• fastai
• keras
• pytorch
• scikit
• tensorflow
• transformers

Contributions are welcome. See CONTRIBUTING.md for the workflow, standards, and PR checklist, and AGENTS.md for the conventions AI coding agents should follow. New examples can be scaffolded from templates/integration-example/.

Have questions? We have answers -

• Email us at info@comet.com
• For the fastest response, ping us on Slack

Want to request a feature? We take feature requests through github at: https://github.com/comet-ml/issue-tracking

Check out new product features and updates through our Release Notes. Also check out our blog.