Public | Automated Build

Last pushed: a month ago
Short Description
a simple, (mostly-) minimal Jupyter notebook for data science on Kubernetes and Origin
Full Description


This is a container image intended to make it easy to run Jupyter notebooks with Apache Spark on OpenShift. You can use it as-is (by adding it to a project), or you can use it as the basis for another image. In the latter case, you'll probably want to add some notebooks, data, and/or additional packages to the derived image.


As a standalone image

For your convenience, binary image builds are available from Docker Hub.

  • Add the image radanalyticsio/base-notebook to an OpenShift project.
  • Set JUPYTER_NOTEBOOK_PASSWORD in the pod environment to something you can remember (this step is optional but highly recommended; if you don't do this, you'll need to trawl the logs for an access token for your new notebook).
  • Create a route to the pod.

As a base image

  • As nbuser (uid 1011), add notebooks to /notebooks and data to /data.
  • This process should be easier in the future; stay tuned!


Make sure that this notebook image is running the same version of Spark as the external cluster you want to connect it to.


This image was initially based on Graham Dumpleton's images, which have some additional functionality (notably s2i support) that we'd like to incorporate in the future.

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