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Neptune is the MLOps stack component for experiment tracking. It offers a single place to log, compare, store, and collaborate on experiments and models.
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Try it out
See how it works with our 5-minute "Hello Neptune" example.
No registration required.
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Overview
What is Neptune? What can you do with it? The introduction should answer most of your questions.
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Set it up
Head straight to installation and setup.
Interested in Neptune on-premises?
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Take the tutorial
Start from the beginning, set up a sample project, and learn the central Neptune functions.
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What's new in the docs
Date Changes Sep 26, 2023 Added help page for NeptuneLimitExceededException.Sep 21, 2023 We published a no-code, end-to-end onboarding guide for team leads. In our new Privacy and security guide, we outline considerations for working with sensitive data. Finally, we clarified topics covered in Log custom x values for graph, Log from multiple scripts, Log to multiple runs, and Service accounts. Sep 10, 2023 Organized error help pages under the API tab and revamed the tab landing page. Sep 6, 2023 New tutorials: Resume a run from a checkpoint and How to use Neptune with CatBoost Aug 28, 2023 New: Apache Airflow integration guide and API reference Aug 25, 2023 New error help page: X-coordinates (step) must be strictly increasing. Documented how to create a scatter plot. Aug 21, 2023 Updated the PyTorch integration guide and API reference. Updated the Arize example. Aug 10, 2023 New help page: Runs vs Model registry - When to use which Aug 9, 2023 Updated the pandas guide. Jul 4, 2023 New: Reproducing runs tutorial Jun 30, 2023 New: the updated MLflow integration guide and API reference are published. Jun 29, 2023 New: the updated TensorBoard integration guide and API reference are published. Looking for product release notes? See the Changelog
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Navigating the docs
Tab Contents Home Introduction, changelogs, and resources. You'll also find information about the legacy API here. Getting started Everything related to installation, setup, and getting started with Neptune. 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.