Shameless plug: I'm actively working on a similar project, Datoviz [1], a C/C++ library with thin Python bindings (ctypes). It supports both 2D and 3D but is currently less mature and feature-complete than fastplotlib. It is also lower level (high-level capabilities will soon be provided by VisPy 2.0 which will be built on top of Datoviz, among other possible backends).
My focus is primarily on raw performance, visual quality, and scalability for large datasets—millions, tens of millions of points, or even more.
I have always admired your datoviz library from afar and check the vispy2/vispy2-sandbox libraries on GitHub every few months to check up on it. When do you think 'soon' is?? Really looking forward to it!
Thanks! The code is currently managed by Nicolas Rougier in a GitHub repository that will be made public next week. This repository hosts the "graphics server protocol" (GSP), an intermediate layer between Datoviz and the future high-level plotting API. For the latter, we’ll need community feedback to shape an API philosophy that aligns with VisPy users' needs—let's aim to publish a write-up this month.
Implementing the API on top of GSP should be relatively straightforward, as the core graphics-related mechanisms are handled by GSP/Datoviz. We've created a Slack channel for discussions—contact me privately if you'd like to join.
My focus is primarily on raw performance, visual quality, and scalability for large datasets—millions, tens of millions of points, or even more.
[1] https://datoviz.org/