Reflex Open Sources XY: A Rust-Backed Super-Fast Python Charting Library That Keeps 100 Million Point Charts Interactive

📰 MarkTechPost

Learn about XY, a super-fast Python charting library that leverages Rust and WebGL2 for interactive 100 million point charts, and how to use it for efficient data visualization

intermediate Published 4 Aug 2026
Action Steps
  1. Install XY using pip by running `pip install xy-chart`
  2. Import XY in Python and create a sample chart using `import xy; xy.plot([1, 2, 3], [4, 5, 6])`
  3. Configure XY to render large datasets by setting `xy.config.render_mode = 'webgl2'`
  4. Test XY's performance by plotting a large dataset of 10 million points using `xy.plot(np.random.rand(10000000))`
  5. Customize XY's appearance and behavior using various options available in the `xy.config` module
Who Needs to Know This

Data scientists and analysts can benefit from using XY for fast and interactive data visualization, while developers can contribute to the library's development and customization

Key Insight

💡 XY achieves fast rendering by offloading work to a native Rust core and WebGL2 client, allowing for interactive charts with large datasets

Share This
🚀 Reflex open-sources XY, a super-fast Python charting library that renders 100M point charts in 0.08s! 📈💻

Key Takeaways

Learn about XY, a super-fast Python charting library that leverages Rust and WebGL2 for interactive 100 million point charts, and how to use it for efficient data visualization

Full Article

Reflex has released XY, an Apache-2.0 Python charting library that moves rendering work into a native Rust core and a WebGL2 client. It holds roughly 0.08 seconds render time from 10,000 to 100 million points, exports a 10-million-point interactive scatter at 258 KiB, and keeps exact f64 columns in Python so hover, selection, and zoom drilldown still return original rows. The library is early alpha at version 0.0.1. The post Reflex Open Sources XY: A Rust-Backed Super-Fast Python Charting Librar
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