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# Which JavaScript Chart Library is Fastest? We Benchmarked 8 of Them.

**Company:** [SciChart](https://www.wearedevelopers.com/companies/4076-scichart)

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