A small (~50 KB min), fast chart for time series, lines, areas, ohlc & bars (MIT Licensed)
Introduction
uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at ~100,000 pts/ms afterwards. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~50 KB, it’s likely the smallest and fastest time series plotter that doesn’t make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size.
In most sane cases, you can live-stream data with uPlot at 60fps, though it may begin to struggle beyond 100k in-view points. When updating 3,600 points at 60fps, uPlot uses 10% CPU and 12.3MB RAM. The next fastest Canvas-based libs (Chart.js and ECharts) use 40% / 77MB and 70% / 85MB, respectively. If you need to stream, give unclog your rendering pipeline a try. If that does not help, consider reducing the update frequency or switch to a WebGL/WebGPU solution, like danchitnis/webgl-plot, huww98/TimeChart, epezent/implot.
https://github.com/leeoniya/uPlot