Which JavaScript Chart Library is Fastest? We Benchmarked 8 of Them.
Developers evaluating charting libraries for high-performance applications ask the same question: which one actually holds up under real data loads?We built an open-source benchmark to find out.What is Chart Bench?Chart Bench is an open-source JavaScript chart performance benchmark suite that stress-tests popular charting libraries across 13 test cases - including line, scatter, heatmap, candlestick, 3D surface, and multi-chart scenarios.It measures:Frames per second (FPS)Time to first render (init time)Memory usageData ingestion rate (points/sec)The benchmark is designed to simulate extreme workloads: millions of data points, real-time streaming, and multiple charts on screen.It runs locally on your hardware, logs results, and allows JSON export for sharing or comparison.Clone and run it:https://github.com/abtsoftware/javascript-chart-performance-test-suiteLibraries TestedSciChart.jsLightningChart.js (v4 + v8)Plotly.jsHighchartsChart.jsApache EChartsuPlotChartGPUWhat It MeasuresFPS under increasing data loadsTime to first render (ms)Memory usage (JS heap)Data ingestion rate (points/sec)Failure conditions: hangs, freezes, crashesOne Number Worth KnowingIn internal benchmark runs, SciChart.js reached ~40 million data points per second ingestion rate and led in FPS across a majority of tested scenarios on a range of hardware.Full results - across multiple hardware configurations from high-end GPUs to low-power devices - are published here:https://www.scichart.com/blog/chart-bench-compare-javascript-chart-libraries/SciChart is a high-performance charting library for JavaScript, WPF, iOS, and Android, designed for real-time, large-scale data visualisation using GPU-accelerated rendering. https://www.scichart.com