This repository stores recipes of publicly-available Jupyter images

Latest versions:

gcr.io/getindata-images-public/jupyterlab-mlops:dev-0.2.9

Local copy of jupyter/base-notebook, used to build and manage local versions of base-notebook image that are no longer published in offical repositories:

• conda-backed python 3.8.x environment
• Ubuntu 20.04 as base image

Based on the jupyter/pyspark-notebook image with additional setup of:

• conda-backed python 3.9 environment
• jupyterlab-git extension
• local MLflow server for experiment tracking
• additional conda environment with python 3.8 and kedro framework
• Istio-compatible Spark executor entrypoint

Based on the jupyter/minimal-notebook:python-3.11 image with additional setup of:

• conda-backed python 3.11 environment with kedro 0.19.8 framework
• jupyterlab-git extension
• jupyter-server-proxy extension
• local MLflow server for experiment tracking
• local code-server as IDE accessed from the browser

Compatibility:

• Kubeflow Notebook Servers
• Vertex AI Notebooks

Based on the jupyter/minimal-notebook:python-3.11.4 image with additional setup:

• jupyterhub-base image
  • jupyterlab-git extension
• snowflake image
  • jupyterlab-git extension
  • jupyter-server-proxy extension
  • local code-server as IDE accessed from the browser with
  • dbt Power User extension pre-installed
  • data-pipelines-cli
  • Snow SQL plugin

Compatibility:

• JupyterHub

Based on the jupyter/base-notebook image with additional setup:

• conda-backed python 3.8.8 environment
• jupyterlab-git extension
• jupyter-server-proxy extension
• streaming-jupyter-integrations Jupyter magics for interactively running Flink SQL jobs
• streamingcli tool
• local code-server as IDE

Compatibility:

• JupyterHub

In Kubeflow Notebooks select Custom Image checkbox and enter image location:

In Vertex AI select New instace -> Customize instance, then in Environment select Custom container. Finally, enter image location in Docker container image input: