ChartGPU is an open-source charting library designed for high-performance data visualization, capable of rendering up to 50 million points at 60 frames per second thanks to WebGPU technology. Built with TypeScript, it focuses on smooth, interactive experiences, particularly beneficial when dealing with large datasets. In benchmark tests, it has shown the ability to render 35 million points at approximately 72 FPS. The library supports various chart types, including line, area, bar, scatter, pie, and candlestick charts. The library allows for extensive customization through annotations, such as reference lines and point markers, making it easier to highlight key data features. Users can interact with charts using built-in features like hover highlights, tooltips, and crosshairs. For dynamic data, ChartGPU supports streaming updates, enabling real-time data visualization. It also offers features like X-axis zooming and theme presets for visual consistency. ChartGPU provides a comprehensive annotation authoring system, allowing users to add, edit, and customize annotations with ease. The system supports multiple annotation types and includes features like undo/redo capabilities, drag-and-drop functionality, and full styling control. Installation is straightforward via npm, and there are React bindings available for easier integration into React applications. Support for various browsers is included, with requirements for WebGPU to be enabled for optimal performance. The project is still in its early stages, and the developers are open to community feedback. Users can find full documentation and examples on the GitHub repository, along with instructions for local setup and development. The functional-first architecture of ChartGPU ensures efficient rendering and management of the GPU lifecycle, making it a robust option for anyone needing high-performance charting capabilities.