Tutorials and examples

The community maintains a set of official tutorials and examples for many Elyra features.

Tutorials

The following tutorials highlight key features of Elyra.

Running notebook pipelines in JupyterLab

Learn how to create a notebook pipeline and run it in your local JupyterLab environment.

Running notebook pipelines on Kubeflow Pipelines

Learn how to create a notebook pipeline and run it on Kubeflow Pipelines. This tutorial requires a Kubeflow Pipelines deployment in a local environment or on the cloud.

Running notebook pipelines on Apache Airflow

Learn how to create a notebook pipeline and run it on Apache Airflow. This tutorial requires an Apache Airflow deployment in a local environment or on the cloud.

Examples

The https://github.com/elyra-ai/examples repository contains examples you can use to explore Elyra features.

If you have JupyterLab with the Elyra extensions installed, clone the repository using the included jupyter-git extension:

  • From the main menu select git > Clone a repository. (The label texts might vary depending which version of the jupyter-git extension is installed.)

  • Enter https://github.com/elyra-ai/examples.git as repository URL.

  • In the JupyterLab File Browser navigate to the examples directory and open README.md.

Sample pipelines

The following pipelines were created by members of the extended Elyra community and should run as-is in JupyterLab and on Kubeflow Pipelines.