Uploaded February 2023 | Updated September 2026, 2 weeks ago
In this video we compare SciChart.js with Arction LightningChart JS (lcjs) in a high performance JavaScript charting benchmark. LightningChart claims it can render 100 million data points in 6.5 seconds. We put this to the test using SciChart.js, a GPU accelerated WebGL and WebAssembly powered chart library built for real time, high density data visualization.
Why This Comparison Matters
For developers building scientific, medical, financial, industrial, defense, energy, semiconductor, or aerospace applications, rendering millions of data points in real time is critical. Applications like sensor monitoring, IoT dashboards, and live financial trading require chart libraries that are fast, feature rich, and flexible.
Performance Test Details
Test code based on the public GitHub benchmark: github.com/Arction/javascript-charts-performance-comparison
Compared SciChart.js v2.2 vs lcjs v3.4.0
Static drawing test: 10 series × 10,000,000 points each = 100,000,000 points total
Hardware: Razer Blade Laptop, Intel i7 12800H, 32GB RAM, NVIDIA 3080 Ti (Laptop GPU)
Result
SciChart.js – 11 seconds
LightningChart JS (lcjs) – 32 seconds, crashed at 90 million points
SciChart.js rendered 2.9 times faster than lcjs in this test, demonstrating the power of WebGL and WebAssembly optimization for real time, large scale data visualization.
Learn More About SciChart.js
Official Website and Free Trial: scichart.com
Documentation: scichart.com/documentation/js/v4/intro
GitHub: github.com/abtsoftware
Blog: scichart.com/blog/scichart-is-the-fastest-js-chart-library-available-and-why-that-matters-in-todays-world
Demos: scichart.com/demo/javascript
#javascriptcharts #realtimecharts #webglcharts #bigdatavisualization #SciChartJS #LightningChartJS #chartperformance #javascriptperformance #gpuacceleratedcharts #highperformancecharts #scientificdatavisualization #financialcharts #IoTdashboards #interactivecharts #javascriptbenchmarking #webassemblycharts
In this video we compare SciChart.js with Arction LightningChart JS (lcjs) in a high performance JavaScript charting benchmark. LightningChart claims it can render 100 million data points in 6.5 seconds. We put this to the test using SciChart.js, a GPU accelerated WebGL and WebAssembly powered chart library built for real time, high density data visualization.
Why This Comparison Matters
For developers building scientific, medical, financial, industrial, defense, energy, semiconductor, or aerospace applications, rendering millions of data points in real time is critical. Applications like sensor monitoring, IoT dashboards, and live financial trading require chart libraries that are fast, feature rich, and flexible.
Performance Test Details
Test code based on the public GitHub benchmark: github.com/Arction/javascript-charts-performance-comparison
Compared SciChart.js v2.2 vs lcjs v3.4.0
Static drawing test: 10 series × 10,000,000 points each = 100,000,000 points total
Hardware: Razer Blade Laptop, Intel i7 12800H, 32GB RAM, NVIDIA 3080 Ti (Laptop GPU)
Result
SciChart.js – 11 seconds
LightningChart JS (lcjs) – 32 seconds, crashed at 90 million points
SciChart.js rendered 2.9 times faster than lcjs in this test, demonstrating the power of WebGL and WebAssembly optimization for real time, large scale data visualization.
Learn More About SciChart.js
Official Website and Free Trial: scichart.com
Documentation: scichart.com/documentation/js/v4/intro
GitHub: github.com/abtsoftware
Blog: scichart.com/blog/scichart-is-the-fastest-js-chart-library-available-and-why-that-matters-in-todays-world
Demos: scichart.com/demo/javascript
#javascriptcharts #realtimecharts #webglcharts #bigdatavisualization #SciChartJS #LightningChartJS #chartperformance #javascriptperformance #gpuacceleratedcharts #highperformancecharts #scientificdatavisualization #financialcharts #IoTdashboards #interactivecharts #javascriptbenchmarking #webassemblycharts
