● Covered by 1 source · 1 reportLow impact1 neutral
XY: A new GPU-accelerated Python plotting library for interactive web and notebook charts
Key points
- XY is a new Python charting library with GPU acceleration.
- It uses a Rust core for efficient rendering of large datasets.
- Supports declarative and Matplotlib-like conventions.
- Currently in alpha, with frequent enhancements.
Introduction to XY Plotting Library
XY is a new Python charting library designed for fast, interactive, and customizable plotting. It supports deployment across web applications, Jupyter notebooks, and static exports. The library allows for declarative chart composition or through conventions similar to Matplotlib.
Performance and Large Datasets
A key feature of XY is its GPU-accelerated performance, particularly with large datasets. For extensive charts, a Rust core processes only the data required for the current screen resolution. This approach enables smooth pan, zoom, and hover interactions, even with billions of data points, by re-computing only the relevant range.
Customization and API
Charts in XY can be customized using Python, CSS, or Tailwind. The library provides a unified API that scales from everyday plots to complex application visuals. It also offers a `pyplot` compatibility layer, allowing users familiar with Matplotlib workflows to adapt existing code with minimal changes.
Current Status and Availability
XY is currently in an alpha development stage and is receiving frequent updates. It is available for installation via `pip` or `uv`. The developers encourage users to follow its progress as it evolves.
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Primary sources
GitHub cmc_internal/api GitHub github/collect GitHub reflex-dev/xy GitHub _private/browser GitHub get-started/accessibility GitHub open-source/sponsorsReporting from
XY is a new Python charting library that offers GPU-accelerated interactive plotting for web, notebooks, and static exports. It uses a Rust core to efficiently render large datasets by only computing visible data, which matters for developers working with extensive data visualization needs.