Reflex’s Newly Open-Sourced xy Library Offers Faster Python Charting

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A newly open-sourced Python charting library, called xy, from Reflex offers an advantage few other charting tools provide: massive scalability. The library rethinks how to render a set of points on the computer screen, and opens new possibilities for using charts in daily workflows. Most Python charting libraries today, such as Plotly, Bokeh, or Matplotlib, take a similar approach to creating charts: they serialize every data point and send it to the browser, where it is usually parsed by JavaScript. GPU acceleration can help, though portraying thousands to millions of rows can hog memory, slow interactions and frequently lead to crashes. The xy library shifts all this heavy data processing to speedy Rust-built libraries, where the rendering job can be matched to the pixel/density surface of the screen. The core then only sends to the screen what the screen can physically display. The library keeps the chart values in a ColumnStore format. The Rust-compiled libraries compute the level of detail, and transfers the results out as typed binary buffers. A New Kind of Charting This approach brings untold benefits, not the least of which is the memory saved by not sending data the browser can’t use. The time it takes to render a chart stays about the same—around 80 milliseconds—regardless of whether you are plotting 10,000 or 10 million points. While reducing the number of points, the software preserves the peaks, troughs and overall shape of the data. Even outliers and tail behavior is captured. Another benefit is that the rendered charts are dynamic. Should the user want …

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