How does PyVista relate to other visualization tools?

I think it might be useful to get a comparison table going in the docs to compare pyvista to other 3D viz tools out there (Python-based or not).

Let’s use this issue as a place to keep track of all the different tools out there start outlining what sections might be included in the comparison table.

Example

Here’s an example of what I’m imaging for this:

While this table outlines the various features available across these tools, it doesn’t capture the ease-of-use of those features across the different software packages or other factors such as ease of installation or the Pythonic-ness of the API (how intuitive the API is to a new user)

	PyVista	plotly	Mayavi	ipyvolume	vtkplotter	ParaView
Python API	✅	✅	✅	✅	✅	✅
pip installable	✅	✅	✅	✅	✅	❌
Free & Open-Source	✅	✅	✅	✅	✅	✅
Supports 3D	✅	✅	✅	✅	✅	✅
Supports Time	✅	✅	✅	✅	✅	✅
NumPy Interface	✅	✅	✅	✅	✅	❌
Supports Large Data	✅	❌	✅	❌	✅	✅
Jupyter Notebooks	✅	✅	✅	✅	✅	❌
Exports to VTKjs or X3D	✅	❌	✅	❌	✅	✅
Eye-Dome Lighting (EDL)	✅	❌	❌	❌	❌	✅
Focuses on Finite Element/Volume Types	✅	❌	✅	❌	❌	✅
Analysis/Filtering Tools	✅	❌	✅	❌	✅	✅
Opacity/Transparency	✅	✅	✅	✅	✅	✅
Subplotting	✅	❌	✅	❌	✅	✅
Exports to movie/GIF	✅	✅	✅	✅	✅	✅
Supports geometric glyphing	✅	❌	✅	✅	✅	✅
Supports a variety of file formats	✅	❌	✅	❌	✅	✅
Direct access to filtering methods	✅	❌	❌	❌	✅	–
Interactivity/embeddable in Jupyter notebooks	✅	✅	✅	✅	✅	–

[banesullivan]

• Another library to add to the table: https://github.com/vispy/vispy

[banesullivan]

@tkoyama010, feel free to use, but with caution (this hasn’t been updated in a while).

@nicoguaro, that’s a good idea! I’ll have to come back to this soon, update the table, then finally close this issue and but the table in the docs