Elyra
latest

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
  • 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
  • Metadata Services
  • Pipelines
  • How to develop a component catalog connector
  • Extension Trackers
  • Elyra Release
  • Elyra refresh on Open Data Hub
Elyra
  • Docs »
  • Elyra Documentation
  • Edit on GitHub

Elyra DocumentationΒΆ

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
  • 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
  • Metadata Services
  • Pipelines
  • How to develop a component catalog connector
  • Extension Trackers
  • Elyra Release
  • Elyra refresh on Open Data Hub
Next

© Copyright 2022, Elyra Team Revision 6950c72c.

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