Plot 100 Million Data Points in JavaScript | SciChart.js Big Data & WebAssembly
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: https://blog.scichart.com/surpassing-...
SciChart.js Latest Version (v2.0) on npm: https://www.npmjs.com/package/scichart
Learn More About SciChart.js: https://www.scichart.com/javascript-c...
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.
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