Wait until you hear about the pixel size restrictions on safari canvases.

WebGL punts to WebGPU for decent compute shaders.

That was also my research group's approach.

How else is the data going to make it to your phone?

And with a JS-friendly tool you can also test your plots on a tablet and a phone in your local wifi.

The API and ABI for this are tricky to get right.

Look at Stephen Few's website and books.

http://perceptualedge.com/examples.php

There is also ggplot, ggplot2 and the Grammar of Graphics by Leland Wilkinson. Sadly, Algebra is so incompatible with Geometry that I found the book beautiful but useless for my problem domains after buying and reading and pondering it.

No difference for human visuals or no difference for discrete data or no difference for "continuous" f32 data?

Good idea.

Add Lab-comor space for this though, like the color theme solarized-light.

Also add options to side-step red-green blindness and blue-yellow blindndess.

Both are useful. With the y-axis staying the same there is a stable point of reference. Then you can see how sub-samples behave relative to your whole sample.