clewis7

7 ms·

1. 1.▲
   by clewis7 2y ago

   Thanks Ivo!
2. 2.▲
   by clewis7 2y ago

   Hey! This sounds like a really interesting use case. If you run into any issues or need help with the visualization, please don't hesitate to post an issue on the repo. We can also think about adding an example demo of a manhattan plot
3. 3.▲
   by clewis7 2y ago

   Thank you for your interest! We have taken a lot of inspiration from pyqtgraph and really like their library.
4. 4.▲
   by clewis7 2y ago

   I think one nice thing that we have tried to do is limit super heavy dependencies and also separate optional dependencies to streamline things. The quickest install would be `pip install fastplotlib`. This would be if you were interested in
5. 5.▲
   by clewis7 2y ago

   We are definitely looking forward to adding more 3D graphics in the future, and this sounds really cool. Would you mind posting an issue on the repo? I think this is something we would want to have on the roadmap or at least an open issue t
6. 6.▲
   by clewis7 2y ago

   See here: https://www.fastplotlib.org/ver/dev/user_guide/faq.html#what... We are hoping for pyodide integration soon, which would allow fastplotlib to be run strictly in the browser!
7. 7.▲
   by clewis7 2y ago

   Yes! The number of data points can range in the millions. Quite honestly, the quality of your GPU would be the limiting factor here. I will say, however, that for most use cases, an integrated GPU is sufficient. For reference, we have plott
8. 8.▲
   Fastplotlib, a new GPU-accelerated fast and interactive plotting library(github.com)

   6 points by clewis7 2y ago|1 comments
9. 9.▲
   by clewis7 2y ago

   Fastplotlib is a next-gen plotting library that utilizes Vulkan, DX12, or Metal via WGPU, so it is very fast! We built this library for rapid prototyping and large-scale exploratory scientific visualization. This makes fastplotlib a great l