Jupyter notebooks are now usable in 3D Slicer

We worked hard with @jcfr during the during Slicer project week in Gran Canaria and we are excited to share one of the newest developments: Jupyter notebook support.

You can create interactive Python notebooks to run Slicer code and show resulting text data or slicer/3D view content in the notebook. Great for experimenting and sharing code and results with others.

See an example notebook here, which shows loading of a sample data set, display of a slice view, creation and display of a surface model. See information about how to set up and use notebooks here.

There are still a number of limitations (currently the extension is only available for Windows - will be fixed within a week; auto-complete is not implemented yet; display options are limited, etc.), but it would be great to hear from you, to keep us motivated and help us decide where to focus our efforts.


This is awesome, looking forward to trying as soon as it’s ready for other platforms!

A post was split to a new topic: How to start Slicer Jupyter kernel?

Dear Andras,
Could you please tell me why auto complete is not working for jupyter. I am using nightly version?

thank you

Saima Safdar

In recent nightly builds, with great help from @ihnorton, we added auto-complete (press Tab key):

We also added inspection (press Shift-Tab) to get quick documentation on a Python methods. Currently, limitation is that documentation can only retrieved for native Python code, but we’ll work on extending this to wrapped C++ methods, too (you can track progress of this task here).

To get these features:

  • install a recent nightly version of Slicer
  • install SlicerJupyter extension from the extension manager
  • go to JupyterKernel module
  • click “Install Slicer kernel in Jupyter” button

5 posts were split to a new topic: Slicer Jupyter notebooks can be launched using just a web browser