SciChart.js Tutorial #2 | Adding Series & Data to JavaScript Charts
Learn how to add multiple data series and big datasets to JavaScript charts using SciChart.js, the high-performance WebGL charting library. This is Tutorial #2 in the SciChart.js series, where we explore how to create fast, scalable visualizations ideal for real-time, scientific, financial, and engineering applications.
In this video, you’ll learn:
How to add FastLineRenderableSeries to a chart
How to create and populate XyDataSeries
How to add 100 series × 10,000 points each (1 million datapoints)
How SciChart.js maintains smooth performance even with massive datasets
Best practices for handling large-scale, real-time visualization in JS
SciChart.js is engineered for GPU-accelerated charts that can handle millions of points, making it perfect for high-performance dashboards and big-data applications.
🔗 Resources & Links
JavaScript Chart Tutorials:
https://www.scichart.com/javascript-c...
SciChart.js Getting Started Guide:
https://www.scichart.com/getting-star...
Source Code for This Tutorial:
https://github.com/abtsoftware/scicha...
JavaScript Examples & Demos:
https://demo.scichart.com/
Documentation:
https://www.scichart.com/read-documen...
GitHub Repository:
https://github.com/abtsoftware
Start a Free Trial:
https://www.scichart.com/getting-star...
License Pricing:
https://www.scichart.com/shop/
Case Studies:
https://www.scichart.com/case-studies/
👤 Connect with Us
Contact SciChart: https://www.scichart.com/contact-us/
Andrew Burnett-Thompson (Founder & CEO)
Twitter/X: https://x.com/DrAndrewBt
#SciChartJS #JavaScriptCharts #WebGLCharts #BigDataCharts #RealTimeCharts #HighPerformanceCharts #DataVisualization #EngineeringTools #ScientificVisualization
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