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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

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  See how it works with our 5-minute "Hello Neptune" example.

  No registration required.

  Quickstart

•  Overview

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  What is Neptune? What can you do with it? The introduction should answer most of your questions.

  About Neptune

•  Set it up

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  Head straight to installation and setup.

  Installing Neptune

  Interested in Neptune on-premises?

  Deploying Neptune on your infrastructure

•  Take the tutorial

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  Start from the beginning, set up a sample project, and learn the central Neptune functions.

   Neptune tutorial

   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 neptune-client.
  Apr 21, 2023	Added workaround for logging pandas DataFrame as CSV. Corrected description of key parameter 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 1.0.
  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.

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