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 May 25, 2023 New: Azure ML and DALEX integration guides. We've also begun publishing migration tools from other experiment trackers to Neptune. May 17, 2023 Clarified how to log metadata with argparse and how to use the management API with service accounts. May 10, 2023 New: PyTorch integration guide and examples are available. Added tutorial for using Neptune with Evidently. May 2, 2023 New: PyTorch Ignite integration guide and examples are available. Apr 27, 2023 New tutorial and examples: Tracking sequential pipelines. Clarified artifact logging and hash calculation. Corrected on-prem Neptune compatibility with
Apr 21, 2023 Added workaround for logging pandas DataFrame as CSV. Corrected description of
keyparameter when creating a new model (has to be unique within the project, not workspace).
Apr 18, 2023 New Management tab and pages: Inviting people, Changing project privacy, Enabling public projects, and Managing your subscription. Updated Transformers guide for neptune
Apr 11, 2023 As we shift to the redesigned web application , the docs have been updated to reflect the new interface. Mar 22, 2023 New: Detectron2 integration guide and examples are available.
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.  Use cases Practical tutorials for ML use cases.  API API reference material and everything you need to know about our client library. Includes Neptune CLI usage instructions.  Management User access, collaboration, and workspace and project management.  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.