Welcome to the neptune.ai docs!
Neptune is a metadata store that offers experiment tracking and model registry for machine learning researchers and engineers. With Neptune, you can log, query, manage, display, and compare all your model metadata in a single place.
Try it out
See how it works with our 5-minute "Hello Neptune" example.
No registration required.
What is Neptune? What can you do with it? The introduction should answer most of your questions.
Set it up
Head straight to installation and setup.
Interested in Neptune on-premises?
Take the tutorial
Start from the beginning, set up a sample project, and learn the central Neptune functions.
Neptune R tutorial
What's new in the docs
Date Changes Mar 20, 2023 New page: Logging Git info. We also clarified that you can set your own index when logging metrics or other series of values. Mar 15, 2023 With the
2.3release of on-prem Neptune, we're adding an On-prem tab to the docs site. You can find installation instructions, FAQs, and other information there.
Feb 23, 2023 The docs have been adjusted for the newly released version
1.0of the Neptune client library. The neptune 1.0 upgrade guide describes all the changes, and we added a page on how to deal with unsupported types in case you run into that issue following the upgrade.
Feb 14, 2023 Published a new storage troubleshooting guide. Significantly updated the Kedro integration guide. Feb 3, 2023 Added two explainer pages: using handlers for logging and using the
sync()operations to synchronize metadata across processes. Also clarified how to log from different ranks in multi-node jobs.
Jan 30, 2023 Released API references that were missing for integration libraries. Published guide on using the model registry with Amazon SageMaker. Added a new page for logging charts and plots and improved discoverability of related topics. Jan 23, 2023 Added introductory guide to the Neptune-AWS integration. Added examples for logging after fitting or testing to the Lightning and fastai guides.
Looking for product release notes? See the Changelog
Navigating the docs
Tab Contents  Home Introduction, changelogs, installation, and setup. You'll also find information about on-premises deployment and the legacy API here.  Using Neptune Once you're all set up, in this section you'll find explanations and tips for getting the most out of Neptune. Look here for what kinds of metadata you can log and display.  Integrations Detailed guides on using Neptune together with supported libraries, tools, and environments. Neptune integrates directly with several popular ML frameworks.  Tutorials Practical walkthroughs and MLOps use cases.  API API reference material and everything you need to know about our client library. Includes Neptune CLI usage instructions.  On-prem Information about the on-premises version of Neptune, including installation instructions and FAQ.  Help If you're facing problems or have questions, we're here to help.