Elyra Documentation

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

Getting Started

• Overview
• Installation
• Starting Elyra
• Articles, blog posts, and other resources
• Tutorials and examples
• Getting help
• Changelog
• Troubleshooting

User Guide

• The Elyra JupyterLab interface
• Command line interface
• Configuring the pipeline editor
• Runtime Configuration
• Runtime Image Configuration
• Pipelines
• Pipeline components
• Requirements and best practices for custom pipeline components
• Best practices for file-based pipeline nodes
• System-level environment variables used in file-based pipeline nodes
• Enhanced Script Support
• Code Snippets

Recipes

• Deploying Elyra & JupyterHub in a Kubernetes environment
• Deploying Kubeflow Pipelines Locally for Elyra
• Deploying Open Data Hub with Elyra
• Using Elyra with the Kubeflow Notebook Server
• Running Elyra in an air-gapped environment
• Creating a custom runtime container image
• Visualizing output from your notebooks or Python scripts in the Kubeflow Pipelines UI
• Configuring Apache Airflow on Kubernetes for use with Elyra

Developer Guide

• Contributing to Elyra
• Development Workflow
• Analyzing automated test failures
• Issues Workflow
• Logging
• Elyra Architecture
• Metadata Services
• Pipelines
• How to develop a component catalog connector
• Extension Trackers
• Elyra Release
• Elyra refresh on Open Data Hub