Our Mission: Comet is the AI developer platform. We give teams experiment tracking for their datasets, code changes, experiment history, and production models, and we make Opik, the open-source LLM observability and evaluation platform.
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.
Comet also makes Opik, the open-source LLM observability and evaluation platform. For LLM tracing, evaluation, and AI agent observability examples, see the opik/ folder in this repo and the dedicated opik-examples repository. Full Opik documentation: https://www.comet.com/docs/opik/
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 plain 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/
├── opik/ # Opik (LLM observability) examples: tracing + offline evaluation
├── 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
-
Install Comet from PyPI:
pip install comet_mlComet Python SDK is compatible with: Python 3.5-3.13.
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.