Nebari tutorials

Phase out notice

Nebari is evolving. The original Nebari project is now called Nebari Classic, and is in maintenance mode.

We'll continue to provide security updates and key bug fixes; however, no new features are planned at this time. We're using the lessons learned from Nebari Classic to build a new Nebari ecosystem of tools, on a more robust foundation with a modular architecture. Nebari Classic's maintenance window will remain open until the new architecture reaches stability and feature parity, and current users are able to migrate, expected through the end of 2026.

See the current Nebari documentation for details on the new platform.

The goal of these tutorials is to help you create a mental model for how Nebari works.

Authenticate and launch JupyterLabA step-by-step guide to logging into your Nebari instance and launching a JupyterLab pod.

Work with big data using DaskIntroduction to Dask with Nebari

Create, deploy, and share dashboards and appsQuickly build and deploy a panel dashboard in Nebari

Manage packages and environmentsUsing conda-store for environment management

Create and Manage Grafana AlertsQuickly setup Grafana alerts to monitor your Nebari deployment.

Submit notebook jobs with jupyter-schedulerUse jupyter-scheduler to submit scheduled or unattended jobs

Argo Workflows WalkthroughA walk through several example workflows