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 Dec 1, 2022 Added instructions for downloading and exporting data from the web app. Published tutorial for how to fetch the metadata of a failed run in order to re-run a training with the same config. Clarified limitations of namespaces and fields. Nov 25, 2022 Improved instructions for tracking artifacts from Google Cloud Storage. Nov 24, 2022 Added instructions for the
neptune clearCLI command. Made some corrections to the fastai integration guide, and the Keras integration guide and API reference.
Nov 17, 2022 Clarified best practices for setting a custom run ID. Improved accuracy of the Prophet integration guide. Nov 1, 2022 New tutorial: Tracking and visualizing cross-validation results in Neptune Oct 27, 2022 Recently added pages are now highlighted in the navigation. Added overview page for using and customizing the runs table. Added instructions for tracking artifacts from S3-compatible storage other than Amazon S3. Improved text logging instructions. Oct 18, 2022 New pages: Essential logging methods and Editing object details. Improved instructions on querying metadata from artifact fields. Upgraded the search functionality. Oct 11, 2022 Corrected the description of the
report_toargument in the Transformers guide. Documented the revamped image series gallery.
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.  Help If you're facing problems or have questions, we're here to help.