odh-elyra 4.2.4

Elyra provides AI Centric extensions to JupyterLab

Note:

This repository/project is for opendatahub-io/Data-science-pipelines v2 and workbench work only.
Please refer to upstream elyra for stable version.

Elyra

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

Elyra currently includes the following functionality:

• Visual Pipeline Editor
• Ability to run a notebook, Python or R script as a batch job
• 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
• Python script integrated debugger (Experimental)
• Notebook navigation using auto-generated outlines using Table of Contents
• Language Server Protocol integration
• Version control using Git integration

The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page.

Try Elyra

Using container images

You can also try Elyra by running one of the container images from Docker Hub or quay.io:

• elyra/elyra:latest has the latest released version installed.
• elyra/elyra:x.y.z has a specific version installed.

Note: You can also build a container image from the main branch ("dev build") to try out features that have not been released yet.

To run one of the container images, issue the following command, specifying a tag of your choice.

docker run -it -p 8888:8888 elyra/elyra:dev jupyter lab --debug

To make a local directory containing your Notebooks (e.g. ${HOME}/opensource/jupyter-notebooks/) available in your docker container, you can use a mount command similar to the following:

docker run -it -p 8888:8888 -v ${HOME}/opensource/jupyter-notebooks/:/home/jovyan/work -w /home/jovyan/work elyra/elyra:dev jupyter lab --debug

These should produce output similar to that below, where you can then find the URL to be used to access Elyra in your local browser.

    To access the notebook, open this file in a browser:
        file:///home/jovyan/.local/share/jupyter/runtime/nbserver-6-open.html
    Or copy and paste one of these URLs:
        http://4d17829ecd4c:8888/?token=d690bde267ec75d6f88c64a39825f8b05b919dd084451f82
     or http://127.0.0.1:8888/?token=d690bde267ec75d6f88c64a39825f8b05b919dd084451f82

Refer to the installation documentation for details.

Installation

For detailed information refer to the installation documentation.

Prerequisites :

• Node.js 18+
• Python 3.8+
• Miniconda (optional)

Install current release (for JupyterLab 3.x)

The current release version is displayed at the top of this page.

• Install from PyPI

  pip3 install --upgrade "elyra[all]"
  

• Install from conda-forge

  conda install -c conda-forge "elyra[all]"
  

Install older release

Installation instructions and JupyterLab support vary by release. Note that a JupyterLab build is required. Installation instructions are located in the release-specific documentation, which can be accessed by selecting a specific version.

Elyra 3.1 < 3.7 (JupyterLab 3.x)

• Install from PyPI

  pip3 install --upgrade "elyra[all]>=3.1.0" && jupyter lab build
  

• Install from conda-forge

  conda install -c conda-forge "elyra[all]>=3.1.0" && jupyter lab build
  

Elyra 2.0 < 3.1 (JupyterLab 3.x)

• Install from PyPI

  pip3 install --upgrade "elyra>=2.0.1" && jupyter lab build
  

• Install from conda-forge

  conda install -c conda-forge "elyra>=2.0.1" && jupyter lab build
  

Verify Installation

Run the following commands to verify the installation. Note that in the example output below the [version] placeholder is displayed instead of an actual version identifier, which might change with every release.

jupyter server extension list

Should output:

Config dir: /.../.jupyter

Config dir: /.../etc/jupyter
    elyra enabled
    - Validating elyra...
      elyra  OK
    jupyter_lsp enabled
    - Validating jupyter_lsp...
      jupyter_lsp [version] OK
    jupyter_resource_usage enabled
    - Validating jupyter_resource_usage...
      jupyter_resource_usage [version] OK
    jupyter_server_mathjax enabled
    - Validating jupyter_server_mathjax...
      jupyter_server_mathjax  OK
    jupyterlab enabled
    - Validating jupyterlab...
      jupyterlab [version] OK
    jupyterlab_git enabled
    - Validating jupyterlab_git...
      jupyterlab_git [version] OK
    nbclassic enabled
    - Validating nbclassic...
      nbclassic  OK
    nbdime enabled
    - Validating nbdime...
      nbdime [version] OK

Config dir: /.../etc/jupyter

NOTE: If you don't see the Elyra server extension enabled, you may need to explicitly enable it with jupyter server extension enable elyra

jupyter labextension list

Should output:

JupyterLab [version]
/.../share/jupyter/labextensions
        nbdime-jupyterlab [version] enabled OK
        @jupyter-server/resource-usage [version] enabled OK (python, jupyter-resource-usage)
        @krassowski/jupyterlab-lsp [version] enabled OK (python, jupyterlab_lsp)
        @elyra/code-snippet-extension [version] enabled OK
        @elyra/code-viewer-extension [version] enabled OK
        @elyra/metadata-extension [version] enabled OK
        @elyra/pipeline-editor-extension [version] enabled OK
        @elyra/python-editor-extension [version] enabled OK
        @elyra/scala-editor-extension [version] enabled OK
        @elyra/r-editor-extension [version] enabled OK
        @elyra/theme-extension [version] enabled OK
        @jupyterlab/git [version] enabled OK (python, jupyterlab-git)

Other labextensions (built into JupyterLab)
   app dir: /.../share/jupyter/lab

Starting Elyra

After verifying Elyra has been installed, start Elyra with:

jupyter lab

Getting Help

We welcome your questions, ideas, and feedback. Check the Getting Help section in the Getting Started guide to learn more about the channels you can use to get in touch with us.

Contributing to Elyra

If you are interested in helping make Elyra better, we encourage you to take a look at our Contributing page,
Development Workflow documentation, and invite you to attend our weekly dev community meetings.

Meetup with Us!

Our daily and weekly community meeting schedule can be found here.