The community maintains a set of official tutorials and examples for many Elyra features. Articles, blog posts, and other resources that are not part of the Elyra documentation are located here.
The following tutorials highlight key features of Elyra.
Learn how to create a generic pipeline and run it in your local JupyterLab environment.
Learn how to run generic pipelines on Kubeflow Pipelines. This tutorial requires a Kubeflow Pipelines deployment in a local environment or on the cloud.
Learn how to run runtime-specific pipelines on Kubeflow Pipelines. This tutorial requires a Kubeflow Pipelines deployment in a local environment or on the cloud.
Learn how to run generic pipelines on Apache Airflow. This tutorial requires an Apache Airflow deployment in a local environment or on the cloud.
Learn how to run runtime-specific pipelines on Apache Airflow. This tutorial requires an Apache Airflow deployment in a local environment or on the cloud.
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 thejupyter-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 openREADME.md
.
The following pipelines were created by members of the extended Elyra community and should run as-is in JupyterLab and on Kubeflow Pipelines.