I followed one of their online workshops, and it feels really powerful, although it is a bit confusing which part of it does what (it's basically 6 or 7 projects put together under an umbrella)
I followed one of their online workshops, and it feels really powerful, although it is a bit confusing which part of it does what (it's basically 6 or 7 projects put together under an umbrella)
Bokeh and holoviz send data to a JS front end that draws (to the best of my knowledge), whereas fastplotlib does everything on the python side and uses jupyter_rfb to send a compressed frame buffer when used in jupyter. Fastplotlib also works as a native desktop application in Qt and glfw, which is very different from bokeh/holoviz. Fastplotlib also has higher raw render speed, you can scroll though a 4k video at 60Hz with thousands of extra objects on your desktop which I haven't ever been able to accomplish with bokeh (I haven't tried it in years, not sure if things have changed)
The events system is also very different, we try to keep the API to simple function callbacks in fastplotlib.
At the end of the day use the best tool for your use case :)
Depending on your GPU, you can render say 1-50 million points smoothly. Also see e.g. https://github.com/pygfx/pygfx/discussions/819