A tiny JavaScript charting library for smooth, real-time streaming data visualization.
Smoothie Charts is a lightweight JavaScript charting library specifically designed for real-time streaming data visualization. It solves the problem of jerky, stuttering chart updates by providing smooth animations and efficient rendering of live data streams. The library focuses on time-series data and uses HTML5 Canvas for performance.
Frontend developers and engineers who need to visualize live, streaming data in web applications, such as monitoring dashboards, real-time analytics, or IoT data displays.
Developers choose Smoothie Charts for its simplicity, small footprint, and smooth rendering of real-time data—eliminating the headaches of choppy chart updates common with other libraries.
Smoothie Charts: smooooooth JavaScript charts for realtime streaming data
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Specifically designed for live data with smooth animations that eliminate jerky updates, as shown in the server CPU usage example where data streams continuously.
Very small library with minimal dependencies, using HTML5 Canvas for high-performance rendering without bloating page load, evident from its minimal setup.
Easy to get started with a straightforward API for adding time series and streaming to canvas, demonstrated in the hello world example with just a few lines of code.
Adapts to different screen sizes and layouts, with dedicated examples provided for responsive behavior in the documentation.
Only optimized for time-series line charts, lacking support for common varieties like bar, pie, or scatter plots, which restricts its use for broader data visualization.
Customization of colors and styles requires manual configuration via options like strokeStyle, with no built-in themes or advanced styling tools, making it less suited for polished UIs.
Core README is minimal, forcing reliance on external tutorials and examples for in-depth guidance, which can increase setup time for complex implementations.