Hey! Thanks a lot for checking it out! TL;DR: 1. Between Seaborn and MPL Plotter, I believe it comes to taste more than anything, and (somewhat arguably), I think MPL Plotter is a bit more concise. I really like how you can expand its functionality with Matplotlib, but that applies to both! 2. I recommend Datashader (https://datashader.org/) (HoloViz is super cool) and Vispy (https://vispy.org/). I found Vispy's documentation a bit lacking some time ago, but they probably have improved it since then, and it's very capable. Lastly, check Taichi (https://taichi.graphics/), might not be a conventional data representation library (or rather, not only), but it's amazing and worth a look.

To add some more depth to the Seaborn comparison, and not being an expert Seaborn user, I'd say:

1. MPL Plotter is lighter (but also with less wide-ranging plot options) 2. In my experience, MPL Plotter's presets (most importantly, the defaults from which you build your plots up) are more suitable for technical papers than Seaborn's.

And perhaps a bit more arguably (again, I'm not a Seaborn expert, please do correct me if you think otherwise):

3. I believe MPL Plotter gives you more fine-grained control over your plot. That's is for you to plot and customize as far as Matplotlib will take you in one line, while most Seaborn examples I've seen use pyplot snippets. 4. And following with the above, I believe the syntax is a little more concise.

Personally I like that MPL Plotter is fundamentally Matplotlib, so I can use any Matplotlib customization I might need seamlessly, and, if useful enough, add it later on as a method in MPL Plotter itself, which would be a bit harder on such an established project as Seaborn. It's just tastes at that point, and the flexibility of being a small project.

Cheers!