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). Get Started

Why build a dashboard for MLflow?

Everything in one place

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

Share your perspective

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

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

Step 1.

            Skip the custom quote

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

Step 2.

                Plugin your database

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

Step 3.

            Build your  dashboards

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