How to Log Your Experimentation Metadata: Docker + Integration

1 min
Prince Canuma
4th April, 2022

Important: This video was created in October 2021. For the most up-to-date code examples, please refer to the Neptune-Docker integration docs

You can use Neptune in any Python environment to log and retrieve ML metadata, including containerized Python scripts or applications.

In this guide, you will learn how to use the Neptune-client library inside Docker to log experimentation metadata. is an MLOps stack component for experiment tracking. So we’re constantly working on making it easy to integrate with other parts of the workflow.

It is already integrated with 25+ tools and libraries, and the list is growing. You can check our roadmap to see what’s currently under development.  

Other useful resources

Check the docs to see how to use Neptune with Docker.

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