How to Use Custom Dashboards

When analyzing your metadata in the Neptune app, you can create custom dashboards.

They let you combine different metadata types (charts, parameters, image series, source code, etc.) in a single view. 

Here’s a short overview of Neptune dashboards.

Why would you need dashboards?

• To see all metadata related to a specific part of the project in one place, 
• To see training and validation results on one chart,
• To see validation metrics and image predictions on a subset of a validation set next to each other,
• To divide metadata by stages of the project and display each group in a different dashboard,
• To analyze the same group of charts weekly or for each of your projects, for example, when you want to have a template dashboard to check it every time and/or to show it to other stakeholders

These are the most common use cases that we hear about from our users. 

But for sure, these are not the only use cases. We call them “custom” dashboards for a reason – you can set them up however you want.

How to create a custom dashboard?

Check the documentation that explains step-by-step how to create custom dashboards. 

More about How to Use Custom Dashboards

See in docs

Widgets and supported field types in custom dashboards

Read more See also

Dashboards for Different Stages of the ML Project

Read more See also

Text Classification Example Project

Read more See also

How ReSpo.Vision Uses Neptune to Easily Track Training Pipelines at Scale

Read more

Explore more resources:

Content type

Case study Example dashboard Example project Product update Video Webinar

Area of interest

Computer vision NLP Reinforcement learning Tabular data Time series

Use case

Collaboration Comparison Debugging Evaluation Management Monitoring Reporting Reproducibility Tracking Versioning