13 comments

  • kasts 2 hours ago
    I’m not convinced GPU acceleration is a meaningful advantage for most charting use cases. Most dashboards don’t render enough data for it to matter. Once a chart is dense enough for rendering to become the bottleneck, it normally is already be too crowded to be meaningful. Zooming can justify supporting larger datasets, but sampling/viewport culling and level of detail often avoid drawing unnecessary points...
    • Evidlo 1 hour ago
      I constantly have to work around the slowness of matplotlib when creating animated sequences for my scientific work (even with the Agg back end)
      • apetuskey 1 hour ago
        How many points are you working with usually?
    • apetuskey 2 hours ago
      It depends on how much data you are planning on showing, but as you can see from the benchmarks its also more performant than other python charting libs for small data.

      We also built this library for extreme customization with CSS/Tailwind support so rendering large amounts of data is an important but not the only advantage.

    • formerly_proven 2 hours ago
      There are some niche charting applications which are offloaded to FPGAs and even ASICs.
  • HoneySpoons 24 minutes ago
    This is awesome, can easily see this becoming a standard library. Can't wait for the 3D and volume visualizations.
  • kl01 14 minutes ago
    how does this stack up to evilcharts? my main use case is mapping out data onto frontend, and there are a lot of great libraries out there
    • apetuskey 13 minutes ago
      its a python charting library
  • ahns 24 minutes ago
    Interesting; how do the examples compare to datashader?
  • NickyHeC 2 hours ago
    been stuck on matplotlib for centuries, academia loves such a change
    • apetuskey 2 hours ago
      Thanks! Yes we are working on a Matplotlib compatible Api its very early but we hope to polish it up soon.
  • adhami 2 hours ago
    it's possible to render data out-of-core with XY, allowing it to render the entirety of OpenStreetMaps (that's 10,742,674,832 nodes!) with sub-second pan/zooms. it's a bit difficult to host online but you can try it out locally: https://github.com/reflex-dev/xy/tree/main/examples/osm
  • pcpliu 2 hours ago
    I misread it as ‘Chatting’ library and I was so confused on the GitHub page.

    Love rust as the impl.

  • airstrike 2 hours ago
    > XY is an extremely fast, interactive, customizable Python charting library for the web
    • apetuskey 2 hours ago
      I have adjusted the title
  • farhan99 3 hours ago
    Great, Rust and Tailwind CSS two of my favorite things in one.
  • kl01 1 hour ago
    absolutely fantastic.
  • ranger_danger 2 hours ago
    > written in Rust

    > XY is an extremely fast, interactive, customizable Python charting library

    which is it?

    • xg15 2 hours ago
      Python libraries can have compiled artifacts that were written in any language. This is such a library.
    • apetuskey 2 hours ago
      Its a Python library with some rust in it, to speed up some of the calculations
  • cozzyd 2 hours ago
    no support for native GUI?
    • apetuskey 2 hours ago
      What do you mean by this?
      • cozzyd 27 minutes ago
        like, not in a browser?
  • kl01 1 hour ago
    super cool!