diff --git a/Documentation/docs/getting_started/using_frameworks.md b/Documentation/docs/getting_started/using_frameworks.md
index 2288b9b8f1267f7ced179461592491c8799aa612..178412f2b4b0dcb870dae39ec4c3f72b5dbcc094 100644
--- a/Documentation/docs/getting_started/using_frameworks.md
+++ b/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.
diff --git a/Documentation/docs/getting_started/using_jupyter.md b/Documentation/docs/getting_started/using_jupyter.md
index e9869c9fbea9cd054e118db317c5de486979547e..d1a30d917c4084fb5d0e7cd9b45a2f8f7bdef5de 100644
--- a/Documentation/docs/getting_started/using_jupyter.md
+++ b/Documentation/docs/getting_started/using_jupyter.md
@@ -1,7 +1,15 @@
 # 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).
diff --git a/Documentation/docs/getting_started/using_python.md b/Documentation/docs/getting_started/using_python.md
index b367f26bdc899d2a5a50bbefaad28394db7842aa..0a21039c0adb8b3bab91276868262e1030efa4b4 100644
--- a/Documentation/docs/getting_started/using_python.md
+++ b/Documentation/docs/getting_started/using_python.md
@@ -1,6 +1,6 @@
 # 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.