Merge topic 'doc/pyvista'

e9ea19f7 Add references to PyVista in documentation

Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: buildbot <buildbot@kitware.com>
Acked-by: Berk Geveci <berk.geveci@kitware.com>
Merge-request: !10345

Documentation/docs/getting_started/using_frameworks.md

@@ -3,8 +3,9 @@
 There are many VTK-based, free, open-source applications for scientific,
 bio-medical and medical image visualization and processing; several of them are
 extensible frameworks that can be customized for particular use cases.
-[ParaView](https://paraview.org), [Trame](https://kitware.github.io/trame/index.html)
-and [3D Slicer](https://www.slicer.org/) are examples. Therefore, it is worth
+[ParaView](https://paraview.org), [Trame](https://kitware.github.io/trame/index.html),
+[PyVista](https://docs.pyvista.org), and [3D Slicer](https://www.slicer.org/)
+are examples. Therefore, it is worth
 evaluating if any of these would allow you to address your challenges. This
 would save time by avoiding redeveloping everything from scratch and by
 capitalizing on large communities with thousands of experts.

Documentation/docs/getting_started/using_jupyter.md

 # Using Jupyter
 
-VTK can be used from within [Jupyter](https://jupyter.org/) by utilizing its
-python package. When it comes to rendering it can be combined with the
-[itkwidgets](https://itkwidgets.readthedocs.io/en/latest) package.
+When it comes to rendering with VTK in Jupyter, there are several options.
 
-For more details, check [this](https://colab.research.google.com/github/InsightSoftwareConsortium/itkwidgets/blob/main/examples/integrations/vtk/vtkImageData.ipynb) example.
+To harness the full power of VTK in Jupyter, you may want to leverage
+[PyVista](https://docs.pyvista.org/) and [Trame](https://kitware.github.io/trame/index.html).
+PyVista exposes a high-level interface to VTK for plotting and when combined
+with Trame, empowers users to bring the full power of VTK to a Jupyter
+notebook. We have
+[a post on the VTK discourse about this](https://discourse.vtk.org/t/pyvista-trame-jupyter-3d-visualization/10610). See PyVista's documentation
+for more information on using PyVista's wrappings of VTK in Jupyter.
+
+[itkwidgets](https://itkwidgets.readthedocs.io/en/latest) is one example of
+a domain-specific Jupyter viewer built on VTK. To try out itkwidgets, check
+[this example](https://colab.research.google.com/github/InsightSoftwareConsortium/itkwidgets/blob/main/examples/integrations/vtk/vtkImageData.ipynb).

Documentation/docs/getting_started/using_python.md

 # Using Python
 
-VTK is available on [PyPi](https://pypi.org/) for Windows, macOS and Linux.
+VTK is available on [PyPI](https://pypi.org/) for Windows, macOS and Linux.
 ```
 pip install vtk
 ```
@@ -56,3 +56,7 @@ That's it ! You may now try some of the
 [tutorials](https://kitware.github.io/vtk-examples/site/Python/#tutorial),
 [how to guides](https://kitware.github.io/vtk-examples/site/PythonHowTo) or
 [examples](https://kitware.github.io/vtk-examples/site/Python).
+
+If you are looking for a higher-level interface to VTK in Python, you may want
+to explore using [PyVista](https://docs.pyvista.org) as it exposes VTK in a
+"Pythonic" manner.