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An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

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After released. Required for compatibility with latest itk-vtk-viewer.

Using the latest pre-release (using jupyer notebooks on Linux Python 3.9), passing `mode='x'` or `view_mode='x'` (idem for y / z) as parameter to itkwidgets.view does not change the display mode,...

The workflow to automatically publish the pre-release on each new tag is failing when [generating the release notes](https://github.com/InsightSoftwareConsortium/itkwidgets/runs/8022070133?check_suite_focus=true): ``` Run python ./utilities/release-notes.py ./ReleaseNotes.txt Traceback (most recent call last): File "./utilities/release-notes.py",...

Hi all, I couldn't get to read XDMF files in a notebook ```python from itkwidgets import view import vtk filename='task7/mesh_domains.xdmf' reader = vtk.vtkXdmfReader() reader.SetFileName(filename) reader.Update() vtk_image = reader.GetOutput() view(vtk_image) ```...

Hello, I think the **label_image** is not able to show the segmentation in **view** function in itk 3.5.0. Is there a working example of **view** with **label_image** that I can...

## Overview When viewing two binary images with `view(image1, label_image=image2)`, only the first image volume is displayed. The second image volume can be inferred as intersections on the label surface....

@bnmajor looking to update our docs JupyterLite itkwidgets version, and I am getting the following traceback: ```python --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[3], line 1 ----> 1...

It would be nice to add traitlets support but we are currently unable to do so because of the limitations around the asynchronous network requests and our current `CellWatcher` class...

When there are multiple viewers within one notebook only calls to the most recently created viewer succeed. For example: ``` viewer_1 = view(image) ``` ``` viewer.set_rotate(True) # succeeds ``` ```...