Welcome to the OpenDataHub Notebooks repository! This repository provides a collection of notebooks tailored for data analysis, machine learning, research and coding within the OpenDataHub ecosystem. Designed to streamline data science workflows, these notebooks offer an integrated environment equipped with the latest tools and libraries. These notebooks were created to be used with OpenDataHub ecosystem with the ODH Notebook Controller as the launcher.

These workbenches are available at: quay.io/opendatahub/workbench-images

For a deeper understanding of the architecture underlying this repository, please explore our wiki page Wiki

Make sure the following tools are installed in your environment:

• podman/docker
• python
• pipenv
• make
• curl

Clone this repository to your local machine:

git clone https://github.com/opendatahub-io/notebooks.git
cd notebooks

To build a workbench image, you can execute the following command:

make ${WORKBENCH_NAME} -e  IMAGE_REGISTRY=quay.io/${YOUR_USER}/workbench-images  -e  RELEASE=2023x

Using IMAGE_REGISTRY and RELEASE variables you can overwrite the default values and use a different registry or release tag

The notebook can be run as container on the local systems.

Use podman/docker to execute the workbench images as container.

podman  run -it -p  8888:8888  quay.io/opendatahub/workbench-images:jupyter-minimal-ubi9-python-3.9-2024a-20240317-6f4c36b

Deploy the notebook images in your Kubernetes environment using: deploy8-${NOTEBOOK_NAME} for ubi8 or deploy9-${NOTEBOOK_NAME} for ubi9

make  deployX-${NOTEBOOK_NAME}

Run the test suite against this notebook:

make  test-${NOTEBOOK_NAME}

You can overwrite NOTEBOOK_REPO_BRANCH_BASE variable to use a different repository and branch for testing scripts. This is useful when you debug your changes.

make  test-${NOTEBOOK_NAME} -e  NOTEBOOK_REPO_BRANCH_BASE="https://raw.githubusercontent.com/${YOUR_USER}/notebooks/${YOUR_BRANCH}"

Clean up the environment when the tests are finished:

make  undeployX-${NOTEBOOK_NAME}

The runtimes image requires to have curl and python installed, so that on runtime additional packages can be installed.

Deploy the runtime images in your Kubernetes environment using: deploy8-${WORKBENCH_NAME} for ubi8 or deploy9-${WORKBENCH_NAME} for ubi9

make  deployX-${WORKBENCH_NAME}

Run the validate test suit for checking compatabilty of runtime images:

make  validate-runtime-image  image=<runtime-image>

Clean up the environment when the tests are finished:

make  undeployX-${WORKBENCH_NAME}

Whether you're fixing bugs, adding new notebooks, or improving documentation, your contributions are welcome. Please refer to our Contribution Guidlines.

A huge thank you to all our contributors and the broader OpenDataHub community!

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Anything unclear or inaccurate? Please let us know by reporting an issue: notebooks/issues