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3.0.266 • Public • Published

SciChart.js: High Performance JavaScript Chart Library

SciChart.js is a High Performance JavaScript & TypeScript Charting library which WebGL and WebAssembly to achieve incredible real-time and big-data performance. Fast and able to draw millions of datapoints in realtime, our charts will never cause your app to slow down again!

SciChart has an extremely configurable and extensible API and is perfect for scientific, financial, medical, engineering and enterprise applications, apps with demanding performance requirements or complex and mission critical charting.

SciChart.js 2D 3D chart types

SciChart.JS v3 is released! Check out what's new. There should not be any breaking changes.


SciChart.js is commercial software with a free trial, but we are planning a free community edition soon!

Licensing Links

Demo Application

Getting Started

We've prepared a short Getting Started guide here.

This will walk you through the entire process of starting a trial and show you where tutorials and documentation are and examples.

Useful Links

Features & benefits




Quick Start with NPM and Webpack

SciChart.js can be loaded as an ES6 module with Babel or TypeScript transpiler.

  1. Install SciChart.js
npm i scichart
  1. Create a simple chart by putting this into src/index.js file
import { SciChartSurface } from "scichart/Charting/Visuals/SciChartSurface";
import { NumericAxis } from "scichart/Charting/Visuals/Axis/NumericAxis";
import { XyDataSeries } from "scichart/Charting/Model/XyDataSeries";
import { FastLineRenderableSeries } from "scichart/Charting/Visuals/RenderableSeries/FastLineRenderableSeries";

// Call useWasmFromCDN once before SciChart.js is initialised to load Wasm files from our CDN
// Alternative methods for serving wasm from webpack or offline are available on our website

// Apply your licese key once before startup

async function initSciChart() {
    // Create the SciChartSurface in the div 'scichart-root'
    const { sciChartSurface, wasmContext } = await SciChartSurface.create("scichart-root");

    // Create an X,Y Axis and add to the chart
    sciChartSurface.xAxes.add(new NumericAxis(wasmContext));
    sciChartSurface.yAxes.add(new NumericAxis(wasmContext));

    // Create a line series with some data
    const dataSeries = new XyDataSeries(wasmContext, {
        xValues: [1, 2, 5, 8, 10],
        yValues: [3, 1, 7, 5, 8]
    const renderableSeries = new FastLineRenderableSeries(wasmContext, {
        stroke: "steelblue"

  1. Create src/index.html file
<html lang="en-us">
        <meta charset="utf-8" />
        <meta content="text/html; charset=utf-8" http-equiv="Content-Type" />
        <title>SciChart.js Tutorial 1</title>
        <script async type="text/javascript" src="bundle.js"></script>
        <!-- the Div where the SciChartSurface will reside -->
        <div id="scichart-root" style="width: 800px; height: 600px;"></div>
  1. Run it npm start. As a result you will see a simple line chart.

Further reading:

Quick Start with vanilla JS

If your environment does not include a bundler like Parcel or Webpack, you can still load SciChart.js using the browser bundle module.

1.Create scichart-example.js file with a simple chart

async function initSciChart() {
    // See deployment options for WebAssembly at
    // call useWasmFromCDN once before SciChart.js is initialised to load Wasm files from our CDN

    // Apply your licese key once before startup
    SciChart, SciChartSurface.setRuntimeLicenseKey("--YOUR_KEY_HERE--");

    // Create a chart using the json builder api
    await SciChart.chartBuilder.buildChart("scichart-root", {
        series: {
            type: "LineSeries",
            options: { stroke: "steelblue" },
            xyData: {
                xValues: [1, 2, 5, 8, 10],
                yValues: [3, 1, 7, 5, 8]


See the full browser bundle tutorial here

Release notes. What's New!

Check out what's new in SciChart.js at the below pages:

We release often and if you want to report a bug, request a feature or give general feedback contact us!

Package Sidebar


npm i scichart@3.0.266





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12.4 MB

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Last publish


  • klishevich
  • scichart