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Neptune is an experiment tracker. It enables researchers to monitor their model training, visualize and compare model metadata, and collaborate on AI/ML projects within a team.
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Get an overview
What is Neptune? What can you do with it? How does it work?
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Try it out
See Neptune in action with our 5-minute "Hello Neptune" example.
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Set it up
Interested in self-hosting/on-prem?
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Get on board
Understand how to get your team started with Neptune and explore best practices.
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What's new in the docs
Date Changes Nov 4, 2024 Published self-hosted Neptune 2.5upgrade and installation instructions.Nov 1, 2024 Included workaround for filtering out Error occurred during asynchronous operation processingerrors. Added help page forNeptuneConnectionLostException.Oct 23, 2024 Improved Tracking models e2e tutorial. Oct 18, 2024 Added self-hosting FAQ answers. Sep 24, 2024 Added examples of logging Evidently LLM evaluation reports to Neptune. Sep 20, 2024 Clarified how SSO works in Neptune. Added self-hosting FAQ entries. Highlighted usage of a custom monitoring namespace. Sep 6, 2024 New how-tos: Set up a run deletion script to automatically free up storage, and log a custom hash when tracking artifact versions. Added examples for managing model stage and querying model metadata when tracking models using runs. Aug 23, 2024 New how-tos: Capture external logs from separate scripts, troubleshoot the timestamp must be non-decreasingerror, and access production-ready models using runs.Jul 22, 2024 New how-to: Set custom run color Jul 7, 2024 New integration guide: Great Expectations OSS Looking for product release notes? See the Changelog