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Hi! I've seen some of your work on wgpu-py! Definitely let us know if you need help or have ideas, if you're on the main branch we recently merged a PR that allows events to be bid…

Rendering frames and saving them to disk can be done with rendercanvas but we haven't exposed this in fastplotlib yet: https://github.com/pygfx/rendercanvas/issues/49

Yea the security issue is why I'm pretty sure you can't do it on WGPU, but Vulkan and cupy can fully run locally so it doesn't have the same security concern.

Thanks! Yup our focus is not publication figures, matplotlib and seaborn cover that space pretty well.

This looks cools thanks! Makes me wonder if there's any way to do that with WGPU if WGPU is interfacing with Vulkan, probably not easy if possible I"m guessing. WGPU has security p…

We offer a lot of ways to slice colors, set cmaps and cmap transforms, they are really useful in neuroscience: https://fastplotlib.org/ver/dev/_gallery/line/line_colorslic... https…

Thanks! That is a great question and one that I've we've been battling with as well. As far as we know, this is not possible due to the way different contexts are set up on the GPU…

Exactly that's a good example!

The example from the article with the subtitle "Large-scale calcium imaging dataset with corresponding behavior and down-stream analysis" is a good example. We have brain imaging v…

Almar made blog posts about the line shader he wrote! https://almarklein.org/triangletricks.html https://almarklein.org/line_rendering.html A big shader refactor was done in this P…

ok, different libraries have different use cases, the type of data we work with absolutely necessitates dynamic visualization. You wouldn't view a video with imshow would you?

Thanks! I used pyqtgraph for many years and love what can be done by it, we started off wanting to build something like it but based on WGPU and not bound to Qt.

Thanks Ivo! Just to add on, colab is weird and not performant, this PR outlines our attempts to get jupyter-rfb working on colab: https://github.com/vispy/jupyter_rfb/pull/77

Different use cases :) Plotly doesn't give the performance and interactive tools required for many neuroscience visualizations. We also focus more on the primitive graphics and, at…

In fastplotlib at the end of the day everything is wgpu under the hood, and as the other poster correctly pointed out about numpy being fortran and C wrappers.

We love imgui! Big thanks to the imgui devs, and Pascal Thomet who maintains the python bindings for imgui-bundle, and https://github.com/panxinmiao who made an Imgui Renderer for …

In the browser only jupyter for now, you can use voila to make a server based application using jupyter: https://github.com/voila-dashboards/voila As Caitlin pointed out below pyod…

Almar did some work on speeding up imports a year ago: https://github.com/fastplotlib/fastplotlib/pull/431 but we haven't benchmarked it yet

Thanks! > When would you reach for a different library instead of fastplotlib? Use the best tool for your usecase, we're focused on GPU accelerated interactive visualization. Our u…

I dunno why you'd say this, neither of us are fans of LLMs and most of this was written before LLMs were a thing :)

> Using the strengths of the human vision system to get a rough idea of what the typical data looks like and the frequency and character of outliers isn't dumping the job of explor…

Hi, one of the other devs here. As the poster below pointed out what you're missing is that in this case we know that an eigendecomposition or PCA will be useful. However if you're…