Thanks for this. I've actually been thinking for awhile about creating a 
Python wrapper for MathBox. 

I've experimented a bit with VisPy, but found it be very complicated, and 
couldn't get it to work in Jupyter. 

I'm thinking it wouldn't be too difficult to create a Python wrapper that 
generates JavaScript files and displays them using IPython.display. I 
admit, though, that I don't know JavaScript very well, which is why it's 
taken me so long to get the project going. 

I imagine you already know this, but you can run MathBox files in Jupyter 
without having all the JavaScript in your notebook, with something like 
this:

%%HTML
<iframe width="100%" height="350" src="empty.html?inline=true"></iframe>




On Wednesday, February 15, 2017 at 9:23:25 AM UTC-5, Alexander Mordvintsev 
wrote:
>
> Hi, everybody!
>
>
> I've made a notebook 
> <https://nbviewer.jupyter.org/github/znah/mathbox/blob/jupyter/examples/notebooks/mathbox.ipynb?flush_cache=true>
>  that 
> shows how one can integrate MathBox plots into Jupyter and feed them data 
> from Python backend. WebGL supporting browser and a decent GPU required.
>
>
> MathBox2 <https://github.com/unconed/mathbox> is an amazing visualization 
> library created by Steven Wittens <http://acko.net/>. This is a very 
> promising project, containing some really interesting ideas. 
>
> Unfortunately It's not very mature and haven't been updated for a year 
> already. I really don't want it to be abandoned, so I decided to make a few 
> samples to show that it can be useful as a visualization tool for 
> scientific python community.
>
>
>

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