Dashboards for MLflow

Metabase makes it easy for everyone to build a dashboard for MLflow.

What’s a MLflow dashboard?

A dashboard for monitoring MLflow code pipelines to help data science better monitor their machine learning operations (MLOps).

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Graphs of MLflow

Why build a dashboard for MLflow?

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Everything in one place

Get everyone on the same page by collecting your most important metrics into a single view.

Sales per source graph

Share your perspective

Take your data wherever it needs to go by embedding it in your internal wikis, websites, and content.

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Unlock exploration

Empower your team to measure their own progress and explore new paths to achieve their goals.

What should I track on my dashboard for MLflow?

Every team is different, but sometimes it helps to start with some examples. Here are our top 8 MLflow metrics to start tracking on your dashboards.

Top 8 MLflow monitoring metrics

  • Experiment tracking
  • Machine learning lifecycle
  • Regression analysis
  • Latency
  • Prediction data
  • Artifact logs
  • Code version tracking
  • Errors logs

How to use Metabase to build MLflow dashboards

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Step 1.
Skip the custom quote

That's right, no sales calls necessary—just sign up, and get running in under 5 minutes.

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Step 2.
Plugin your database

We connect to the most popular production databases and data warehouses.

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Step 3.
Build your dashboards

Invite your team and start building dashboards—no SQL required.

Get started with Metabase

  • Free, no-commitment trial
  • Easy for everyone—no SQL required
  • Up and running in 5 minutes