INSIDE SciChart

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 usage
  • Data 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-suite

Libraries Tested

  • SciChart.js
  • LightningChart.js (v4 + v8)
  • Plotly.js
  • Highcharts
  • Chart.js
  • Apache ECharts
  • uPlot
  • ChartGPU

What It Measures

  • FPS under increasing data loads
  • Time to first render (ms)
  • Memory usage (JS heap)
  • Data ingestion rate (points/sec)
  • Failure conditions: hangs, freezes, crashes

One Number Worth Knowing

In 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