Exploring Financial Chart Performance: A Comparative Analysis
When it comes to charting libraries, speed and efficiency are paramount considerations. Among the myriad options available, μPlot emerges as a standout contender. As a fast and memory-efficient Canvas 2D-based charting solution, μPlot excels in plotting various data types, including time series, lines, areas, OHLC (open-high-low-close), and bars. Its impressive performance is evident from its ability to generate an interactive chart containing 150,000 data points in just 90 milliseconds from a cold start. Furthermore, its scalability is noteworthy, achieving approximately 31,000 points per millisecond in a linear fashion. Beyond its rapid initial rendering, μPlot distinguishes itself with unparalleled zooming and cursor responsiveness, outperforming its competitors in this aspect.
Moreover, despite its remarkable speed, μPlot maintains a compact footprint, weighing in at around 50 KB. This makes it likely the smallest and fastest time series plotter available that doesn't rely on context-limited WebGL shaders or WebAssembly (WASM), which typically incur higher startup costs and larger code sizes.
For benchmarking purposes, a demonstration featuring 166,650 data ...