Quick Answer
You can add interactive charts to a TypeScript project using a JavaScript charting library that supports TypeScript. Install the library, import the required chart modules, define your data and chart configuration, and render the chart. You can then add features such as custom tooltips, zooming, and real-time data updates. This tutorial walks through the process using FusionCharts.
Table of Contents
Charts make complex data easier to understand at a glance. They allow users to scroll through history, hover over details, and even see numbers update in real time. In a complex data ecosystem, that’s no less than a superpower.
However, if you’re building a TypeScript application and want to add charts in an existing dashboard, analytics panel, or any UI, you cannot do it directly. TypeScript doesn’t support visuals. But you can do this using JavaScript charting libraries.
In this tutorial, you will learn how to set up a TypeScript project, install a charting library, configure chart data, and render an interactive chart. In the next tutorial in this series, we’ll extend this implementation to React + TypeScript.
Let’s learn this with FusionCharts as a step-by-step example.
FusionCharts with its comprehensive JS chart library powered by 100+ real-time & domain-specific chart types and 2000+ advanced maps with add-ons, makes a perfect choice for building modern embedded analytics. Other than this, we’ll also cover key considerations when choosing the right charting library. So let’s get started!
“TypeScript charts” simply refers to charts used in a TypeScript application. The charting library handles the visualization, while TypeScript can provide type checking for chart data, configuration, and APIs when the library includes TypeScript definitions.
This becomes particularly useful when an application has larger chart configurations or multiple charts with different data structures.
A charting library with good TypeScript support can provide:
You don’t need advanced TypeScript knowledge for this tutorial. Basic familiarity with interfaces, imports, and configuration objects is enough.
Not every chart library will suit every project, so check a few things before you decide.
| Requirement | What to Evaluate |
|---|---|
| TypeScript development | Type definitions and typed APIs |
| Dashboards | Chart variety and layout flexibility |
| Interactivity | Events, tooltips, zoom, drill-down |
| Large applications | Performance and maintainability |
| React / Angular / Vue | Official framework integrations |
| Enterprise use | Support and licensing |
| Customization | Themes, styling, configuration APIs |
Now let’s walk through the hands-on implementation. Let’s build a simple interactive column chart with TypeScript and FusionCharts.
Start with a minimal setup – you don’t need a full framework for this walkthrough.
mkdir ts-charts-demo && cd ts-charts-demo npm init -y npm install --save-dev typescript npx tsc --init
You can keep the TypeScript config simple for this project. Here’s a basic tsconfig.json to start with:
{
"compilerOptions": {
"target": "ES2017",
"module": "ESNext",
"moduleResolution": "bundler",
"lib": ["ES2017", "DOM"],
"esModuleInterop": true,
"strict": true,
"outDir": "dist"
},
"include": ["src/**/*.ts"]
}
This configuration enables strict type checking while keeping the setup simple for a browser-based project.
Install FusionCharts through npm:
npm install fusioncharts
FusionCharts ships native TypeScript definitions (index.d.ts) directly inside the package. You do not need to install a separate @types/fusioncharts package.
Next, import the core library and chart modules to set up the initial configuration.
import FusionCharts from "fusioncharts"; import Charts from "fusioncharts/fusioncharts.charts"; import FusionTheme from "fusioncharts/themes/fusioncharts.theme.fusion"; // Register the chart and theme modules against the core FusionCharts object Charts(FusionCharts); FusionTheme(FusionCharts);
This pattern – import the core, import a module, call the module as a function passing in the core- is how FusionCharts’ modular build works. It only needs to run once per module, at app startup.
Charts need data, and this is where TypeScript starts pulling its weight – you can define an interface for your dataset so the shape is enforced before it ever reaches the chart.
Here’s the sample dataset we’ll use throughout this tutorial:
interface RevenuePoint {
label: string;
value: string;
}
const revenueData: RevenuePoint[] = [
{ label: "January", value: "42000" },
{ label: "February", value: "48000" },
{ label: "March", value: "56000" },
{ label: "April", value: "61000" },
];
Note that FusionCharts expects numerical values passed as string types inside data arrays.
Type your configuration object using FusionCharts.ChartObject to get full autocomplete for chart dimensions, data formats, and axis properties:
const chartConfig: FusionCharts.ChartObject = {
type: "column2d",
renderAt: "chart-container",
width: "600",
height: "400",
dataFormat: "json",
dataSource: {
chart: {
caption: "Monthly Revenue",
subCaption: "Q1–Q2 2026",
xAxisName: "Month",
yAxisName: "Revenue (USD)",
numberPrefix: "$",
theme: "fusion",
},
data: revenueData,
},
};
A few configuration properties worth understanding rather than just copying:
Finally, render the chart into a container element.
const chart = new FusionCharts(chartConfig); chart.render();
<div id="chart-container"></div>
You now have a working column chart built entirely with typed TypeScript code.
Ready to build your own? Try interactive charts in your local environment to see how it fits your workflow.
Because FusionCharts relies on a unified schema, changing visualizations doesn’t require rewriting your data setup. In most cases, updating the type property is all it takes to switch chart types.
const chartConfig: FusionCharts.ChartObject = {
...previousConfig,
type: "bar2d", // was "column2d"
};
That’s it: the data, the container, and the render call all stay exactly as they were in Step 6. Want a pie chart instead? Same pattern: type: “pie2d”.
A line chart? type: “line”. The type property is the switch; everything downstream of it just follows along.
A couple of chart types do expect a slightly different data shape (pie charts, for instance, don’t use xAxisName/yAxisName since there’s no axis), so check the chart type’s config reference if something renders blank after a switch; that’s almost always a data-shape mismatch, not a bug.
Once a chart is rendering and you can switch its type on the fly, the next step is usually making it feel alive – letting users hover for context, zoom into a busy range, or watch values update as new data arrives. FusionCharts exposes all three through configuration properties and methods, so none of this requires a different setup from what you already have.
Add toolText to an individual data point to customize its tooltip. FusionCharts also supports plotToolText when you want to define a common tooltip format for data plots. Tooltip macros such as $label and $dataValue insert the corresponding label and formatted value at runtime.
const revenueDataWithTooltips = revenueData.map((point) => ({
...point,
toolText: "$label revenue: $dataValue",
}));
For dense time-series data, FusionCharts provides the zoomline chart type. Users can drag across the chart to zoom into a specific range and then use the scrollbar to move through the zoomed data.
To control which portion of the dataset is shown when the chart first renders, set displayStartIndex and displayEndIndex:
const zoomChartConfig: FusionCharts.ChartObject = {
type: "zoomline",
renderAt: "chart-container",
width: "600",
height: "400",
dataFormat: "json",
dataSource: {
chart: {
caption: "Monthly Revenue",
xAxisName: "Month",
yAxisName: "Revenue (USD)",
numberPrefix: "$",
theme: "fusion",
displayStartIndex: "0",
displayEndIndex: "5",
},
data: revenueData,
},
};
FusionCharts provides dedicated real-time chart types for dashboards that receive continuously changing data. After rendering a real-time chart, you can pass new values to the existing chart instance with the feedData() method.
For example, after configuring and rendering a real-time chart:
chart.feedData("&label=May&value=67000");
feedData() accepts data in FusionCharts’ real-time data format and updates the chart with the new value. The data could come from a WebSocket connection, polling request, or another application event.
To be honest, there is no single “best” library here. It completely depends on what you are building. Shipping a quick quarterly report tab is very different from building a real-time trading dashboard with dozens of charts.
To make the right call, focus on your biggest bottleneck:
FusionCharts covers most of these requirements. It comes with a rich chart library of more than 100 chart types plus 2,000+ data-driven maps, fully compatible with React, Vue, or Angular. Plus, it is built natively, not bolted on, and designed to handle large databases and frequent updates without breaking a sweat.
Still, don’t take any library’s marketing at face value. Build a quick test component with your actual data and framework before committing to your stack.
For a broader look at what to consider when choosing a JavaScript charting library, read our guide to interactive charts with JavaScript.
A few resources worth bookmarking as you build further:
TypeScript charts are data visualizations used in TypeScript applications, typically through a JavaScript charting library that provides TypeScript definitions or typed APIs.
The best chart library depends on your application. Consider TypeScript support, available chart types, interactivity, performance, framework integrations, documentation, and licensing. For example, FusionCharts can be used in TypeScript projects and provides TypeScript definitions with its npm package.
Install a TypeScript-compatible charting library through npm, import the required modules, define your chart data and configuration, and render the chart in an HTML container or framework component. The tutorial above demonstrates this process with FusionCharts.
Yes. JavaScript charting libraries can be used in TypeScript projects. Libraries that provide TypeScript definitions offer additional benefits such as type checking and IDE autocomplete.
With FusionCharts, set the chart type to “bar2d” and provide the chart data and configuration. If you’re following the column chart example in this tutorial, changing “column2d” to “bar2d” switches the visualization to a horizontal bar chart.
Yes. TypeScript can be used with React chart components and wrappers to create typed, reusable chart components. FusionCharts provides a React integration that can be used in React and TypeScript applications.
Interactive charts give your data a voice. They help users find exactly what they need, right when they need it, without becoming a data geek. But if your current setup, like TypeScript, has made it harder than it should be to get there, hopefully this blog has your back.
We walked through how to use a charting library to add interactive charts to a TypeScript application, step by step, with real code along the way.
So next time your app needs a dashboard, keep it simple: type your dataset, hand it off to our advanced charting tool, FusionCharts, and let the library handle the rendering.
Ready to build interactive charts in your own TypeScript app? Download FusionCharts and try it in your project.
Have questions about integrating charts or run into an edge case not covered here? Contact us at FusionCharts support; we’re happy to help.
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