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jupyterlab-helm-chart's Introduction

Jupyterlab Helm Chart

This chart lets you install a single user instance of jupyterlab into a kubernetes cluster.

There are more elaborate solutions out there (see jupyterhub) , but sometimes this is all you need.

Features

Python requirements

Additional python requirements can be installed with helm config (see pythonRequirements).

Extra python files

You can inject additional python files (e.g. containing helper functions) using extraConfigMapFiles

For example:

extraConfigMapFiles:
  my_utils.py: |
    def print_hello():
        print("hello")

Then use in any notebook like so:

from my_utils import print_hello

print_hello()

S3 backend

You can use s3 as a storage backend for your notebooks. See s3 in values.yaml.

Acknowledgements

This chart was inspired by Deepak Sood's medium post Deploying Standalone JupyterLab on Kubernetes for Early Stage Startups.

jupyterlab-helm-chart's People

Contributors

dstandish avatar

Watchers

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