Dashboard for Jupyter
A dashboard for monitoring Jupyter notebooks and application data that you want to create visualizations for and shared analytics.
Dashboards for Jupyter
Metabase makes it easy for everyone to build a dashboard for Jupyter.
What’s a Jupyter dashboard?
A dashboard for monitoring Jupyter notebooks and application data that you want to create visualizations for and shared analytics. Get Started

Why build a dashboard for Jupyter?

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 Jupyter?
Every team is different, but sometimes it helps to start with some examples. Here are our top 8 Jupyter metrics to start tracking on your dashboards.
Top 8 Jupyter monitoring metrics
- Jupyter logs
- Model latency
- Regression analysis
- Confusion matrix
- Precision
- Recall
- F1 score
- Kappa
How to use Metabase to build Jupyter dashboards

Step 1.
Skip the custom quoteThat's right, no sales calls necessary—just sign up, and get running in under 5 minutes.


Step 2.
Plugin your databaseWe connect to the most popular production databases and data warehouses.

Step 3.
Build your dashboardsInvite 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