Uploaded December 2021 | Updated September 2026, 2 weeks ago
This video demonstrates an upcoming SciChart.js enhancement that allows developers to load and plot 100 million datapoints in real-time using WebAssembly, overcoming the standard JavaScript array limit (~67 million elements).
Whether you’re building scientific dashboards, financial apps, medical visualizations, or industrial control systems, SciChart.js sets the standard for high-performance, real-time, big-data charting in JavaScript.
In this video, you’ll see:
✅ How WebAssembly enables massive array handling beyond JavaScript limits
✅ Plotting 100 million datapoints efficiently in a line chart
✅ Real-time rendering performance showcase
✅ Upcoming features in SciChart.js v2.1 for even faster big-data visualization
✅ Applications in finance, engineering, medtech, aerospace, Formula One telemetry, and industrial dashboards
Resources:
Resources:
Companion Blog Post: blog.scichart.com/surpassing-limits-javascript-bigdata-webassembly
SciChart.js Latest Version (v2.0) on npm: npmjs.com/package/scichart
Learn More About SciChart.js: scichart.com/javascript-chart-features
SciChart.js is the fastest JavaScript charting library in the world, capable of real-time, big-data visualization that no other library can match. Perfect for developers building demanding applications in finance, science, engineering, or industrial control.
#SciChartJS #JavaScriptCharts #WebAssemblyCharts #BigDataVisualizationJS #100MillionDataPointsJS #HighPerformanceChartsJS #RealTimeChartsJS #SciChartBigData #JSChartsLibrary #FinancialDashboardsJS #EngineeringVisualizationJS #IndustrialControlCharts #MedicalChartsJS #FormulaOneTelemetryCharts #SciChartJSv2_1 #TypeScriptCharts #FrontendDataVisualization #WebChartsJS #HighPerformanceJavaScript
This video demonstrates an upcoming SciChart.js enhancement that allows developers to load and plot 100 million datapoints in real-time using WebAssembly, overcoming the standard JavaScript array limit (~67 million elements).
Whether you’re building scientific dashboards, financial apps, medical visualizations, or industrial control systems, SciChart.js sets the standard for high-performance, real-time, big-data charting in JavaScript.
In this video, you’ll see:
✅ How WebAssembly enables massive array handling beyond JavaScript limits
✅ Plotting 100 million datapoints efficiently in a line chart
✅ Real-time rendering performance showcase
✅ Upcoming features in SciChart.js v2.1 for even faster big-data visualization
✅ Applications in finance, engineering, medtech, aerospace, Formula One telemetry, and industrial dashboards
Resources:
Resources:
Companion Blog Post: blog.scichart.com/surpassing-limits-javascript-bigdata-webassembly
SciChart.js Latest Version (v2.0) on npm: npmjs.com/package/scichart
Learn More About SciChart.js: scichart.com/javascript-chart-features
SciChart.js is the fastest JavaScript charting library in the world, capable of real-time, big-data visualization that no other library can match. Perfect for developers building demanding applications in finance, science, engineering, or industrial control.
#SciChartJS #JavaScriptCharts #WebAssemblyCharts #BigDataVisualizationJS #100MillionDataPointsJS #HighPerformanceChartsJS #RealTimeChartsJS #SciChartBigData #JSChartsLibrary #FinancialDashboardsJS #EngineeringVisualizationJS #IndustrialControlCharts #MedicalChartsJS #FormulaOneTelemetryCharts #SciChartJSv2_1 #TypeScriptCharts #FrontendDataVisualization #WebChartsJS #HighPerformanceJavaScript
