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Installing Elyra AI

The Elyra JupyterLab extensions can be installed from PyPI, conda, or from source code.

Prerequisites

JupyterLab dependencies:

  • Elyra >= 2.0.0 requires JupyterLab 3.x
  • Elyra < 2.0.0 requires JupyterLab 2.x
  • Elyra == 0.10.x requires JupyterLab 1.x

The instructions below are installing the latest release.

pip

If you use pip, install Elyra with:

pip3 install --upgrade elyra && jupyter lab build

If desired, you can install these Elyra extensions independently:

  • Pipeline Editor

    pip3 install --upgrade elyra-pipeline-editor-extension && jupyter lab build

  • Code Snippets

    pip3 install --upgrade elyra-code-snippet-extension && jupyter lab build

  • Python Editor

    pip3 install --upgrade elyra-python-editor-extension && jupyter lab build

  • R Editor

    pip3 install --upgrade elyra-r-editor-extension && jupyter lab build

conda

If you use conda, install Elyra with:

conda install -c conda-forge elyra && jupyter lab build

or install the Pipeline editor, Code Snippet, or Script editor extensions individually:

conda install -c conda-forge elyra-pipeline-editor-extension && jupyter lab build

conda install -c conda-forge elyra-code-snippet-extension && jupyter lab build

conda install -c conda-forge elyra-python-editor-extension && jupyter lab build

conda install -c conda-forge elyra-r-editor-extension && jupyter lab build

Build from source

To build Elyra from source code follow the instructions in developer guide.

Verify Installation

To verify an Elyra installation review the installed server extensions and lab extensions.

Verify the server extensions

Verify that the elyra extension is installed.

jupyter serverextension list

Should output:

config dir: /.../etc/jupyter
    jupyter_resource_usage  enabled 
   - Validating...
    jupyter_resource_usage  OK
    jupyterlab  enabled 
   - Validating...
    jupyterlab [version] OK
    nbdime  enabled 
   - Validating...

jupyter server extension list

Should output:

Config dir: /.../.jupyter


Config dir: /.../etc/jupyter
    elyra enabled
    - Validating elyra...
      elyra [version] OK
    jupyter_lsp enabled
    - Validating jupyter_lsp...
      jupyter_lsp [version] OK

Verify the lab extensions

Verify that the elyra labextensions are installed.

jupyter labextension list

Should output:

JupyterLab [version]
/.../share/jupyter/labextensions
        @jupyter-server/resource-usage [version] enabled OK (python, jupyter-resource-usage)
        @krassowski/jupyterlab-lsp [version] enabled OK (python, jupyterlab_lsp)
        @jupyterlab/git [version] enabled OK (python, jupyterlab-git)


Other labextensions (built into JupyterLab)
   app dir: /.../share/jupyter/lab
        @elyra/code-snippet-extension [version] enabled OK

Docker

If you have Docker installed, you can use JupyterLab and Elyra by running one of the ready-to-run container images:

  • elyra/elyra:latest has the latest released version installed.
  • elyra/elyra:x.y.z has version x.y.z installed.
  • elyra/elyra:dev is automatically re-built each time a change is committed to the master branch.

Pulling Elyra container images

Images can be pulled from Docker Hub

docker pull elyra/elyra:dev

or quay.io

docker pull quay.io/elyra/elyra:dev

Running Elyra container images

Invocation example 1:

Run the most recent Elyra development build in a Docker container. All changes are discarded when the Docker container is stopped.

docker run -it -p 8888:8888 elyra/elyra:3.0.1 jupyter lab --debug

Invocation example 2:

Run the most recent Elyra development build in a Docker container and mount the existing local $HOME/jupyter-notebooks/ directory as JupyterLab work directory. This enables you to make existing notebooks and other files available in the Docker container. Only files in this working directory are retained when the Docker container is stopped.

 -v ${HOME}/jupyter-notebooks/:/home/jovyan/work\
 -w /home/jovyan/work\
 elyra/elyra:3.0.1 jupyter lab --debug

Invocation example 3:

Same as above. In addition a local directory named ${HOME}/jupyter-data-dir is mounted as the Jupyter data directory in the Docker container, storing all user-defined Elyra metadata artifacts you might create, such as code snippets, runtime configurations, or runtime images.

 -v ${HOME}/jupyter-notebooks/:/home/jovyan/work\
 -w /home/jovyan/work\
 -v ${HOME}/jupyter-data-dir:/home/jovyan/.local/share/jupyter\
 elyra/elyra:3.0.1 jupyter lab --debug

Open the displayed URL in your browser to start using JupyterLab and Elyra.

    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

Kubeflow Notebook Server

The instructions in this topic outline how to configure a Kubeflow Notebook Server for Elyra.

Red Hat OpenShift

JupyterLab and Elyra are included in the Open Data Hub community operator. Follow the instructions in this document to deploy the operator in a Red Hat OpenShift cluster.

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