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The Elyra installation is included in ODH workbench images directly.
Please refer to the ODH base notebook images, to utilize elyra.
Further contact: https://github.com/opendatahub-io/notebooks

s2i-lab-elyra

This image contains Elyra and all the dependencies and configurations needed to run as a part of OpenDataHub's JupyterHub Environment.

See our latest changes and features

Image Contents

Elyra is a set of AI-centric extensions to JupyterLab Notebooks.

Elyra currently includes the following functionality:

• Create and run AI pipelines
• Run notebooks as batch jobs
• Reusable Code Snippets
• Hybrid runtime support based on Jupyter Enterprise Gateway
• Python and R script editors with local/remote execution capabilities
• Python script navigation using auto-generated Table of Contents
• Notebook navigation using auto-generated outlines using Table of Contents
• Version control using Git integration
• Language Server Protocol integration

The Elyra Getting Started Guide includes more details on these features.

• Image is preconfigured to work with the CRI-O container engine
• If you want to use Elyra with a pipeline runtime such as Kubeflow Pipelines or Apache Airflow, you will need to first add a new pipeline runtime configuration.
  • Tekton is the default compilation engine used by Open Data Hub when installing Kubeflow. Be sure to select the Tekton engine in the Kubeflow Pipelines engine dropdown menu when adding a new configuration for Kubeflow Pipelines.
  • If Kubeflow Pipelines is installed using default configurations and in the same namespace as ODH, you may be able to use the following internal network routes for your Kubeflow pipelines configurations:

      Kubeflow Pipelines API Endpoint: http://ml-pipeline-ui.kubeflow/pipeline
      Cloud Object Storage Endpoint: http://minio-service.kubeflow:9000

  • If adding an Apache Airflow runtime, please note these required parameters in the configuration