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Collaboration in Neptune#

To support collaborative model building, Neptune functions as a combined database and dashboard.

Central metadata store#

Neptune visualized as a central ML metadata store

You and your teammates can run model training on a laptop, cloud environment, or a computation cluster and log all model building metadata to a central metadata store.

You can query and download data from any project you have access to.

Shared table for all runs and models#

Each project comes with a shared table view, where you can see all the models and experiments logged by your team.

  • Compare models from many people on your team.
  • See the progress your team is doing at any time.
  • Monitor all active model training runs.

The Neptune app was built to be used by many people at the same time:

  • Customize the runs table: everyone can view what they think is important by choosing columns (like metrics or parameters) and row filters (like metric values).
  • Save runs table views: everyone can save different views of the runs table, to have a quick look-up of best-performing runs or all experiments for a particular model type.

Whenever you do something in the Neptune app, like filter the runs table or compare runs, the Neptune URL changes. When you share this URL with other people, it will take them to the very same view of the Neptune app that you are seeing.

Neptune URLs are persistent, which means that they'll always work and you can safely use them in other tools and reports.

You can share views such as run comparisons, live charts of learning curves, and hardware consumption dashboards.

To share a page:

  1. In the top-right corner, click the settings menu ().
  2. Select Copy link project.

Good to know

The available collaboration features depends on the subscription plan. For detailed information, see the pricing page on the neptune.ai website.