Best JavaScript Polar Charts to Scale Up Your Data Visualizations

From heatmaps to gauges and line charts, there are a lot of polar charts out there. But how do you know which is right for your use case? Or, if you already know what chart you need to create, how do you build it as quickly as possible and fulfil the brief requirements?

Compared to well-established chart types, the support for polar charts in various charting libraries and frameworks can be less mature. As a result of this, you may have resorted to building some of the chart components from scratch in the past – a significant time sink.

Read this guide to the best JavaScript Polar Charts to find developer-friendly code samples and demos that lets you build more advanced Polar Charts without lagging data performance.

Topics Covered: 

Common Challenges When Building Polar Charts
What’s the Best Paid Library for Advanced Polar Charts?
Polar Line Chart Example
Gauge Charts Example
Polar Ultrasound Heatmap Example
Polar Radar Charts Example
Polar Mountain Charts Example
Elevate Your Polar Charts With SciChart

Common Challenges When Building Polar Charts

Challenges you may have encountered previously when building polar charts, include:

• Overcrowded Chart Design: After adding one too many axes, you may encounter an overcrowded polar chart design that becomes difficult to read. Overlapping polygons, for instance, makes individual data sets nearly impossible to distinguish.
• Limited Scalability: With a fixed, circular space, developers often encounter limited scalability options. It becomes a choice between adding a large data set or creating a usable, readable chart. For some reason you can’t have both!
• Complex Customizations: Customizing elements like gridlines, labels, and tooltips in a radial layout can be far more intricate than in a linear one.
• Limited Interaction Capabilities: Adding features like zooming, panning, or hovering with tooltips can be a significant challenge.

It might be harder to find a library that offers the specific customization, interactivity, and performance you need, but it’s certainly not impossible!

What’s the Best Paid Library for Advanced Polar Charts?

When it comes to choosing the right chart library, it depends on how advanced a design you require. However, if you need to fulfil a more complex design, with interactions and large data sets, you’ll want a polar chart solution that removes the limitations described above.

So, you’ll want a library that supports large data sets for polar charts with no lag in performance, the ability to add interactions with ease and a design that doesn’t get overcrowded with multiple axes.

Sounds good? Read on to find out which polar chart library you need to achieve all this and more.

An advanced chart library, such as SciChart, provides you with the flexibility and scalability you need to build better polar charts. When we say ‘better’ we mean having more control over the design, intuitive layouts that adapt to any screen size and fully scalable performance without a freezing interface. SciChart is one of the best polar chart solutions with TypeScript support.

Best Polar Chart Examples in Business & How to Build Them

We’ve included code samples to our best polar chart examples below, including polar line charts and gauge charts.

Polar Line Chart Example

View Polar Line Chart DemoView Documentation

Try It for Yourself

Build a basic Polar Line Chart using the PolarLineRenderableSeries. This lets you create lines in a polar coordinate system, connecting data points with straight line segments or interpolated arcs.

// Demonstrates how to create a basic polar line chart using SciChart.js
const { 
    SciChartPolarSurface, 
    SciChartJsNavyTheme,
    PolarNumericAxis, 
    PolarLineRenderableSeries,
    EPolarAxisMode,
    EAxisAlignment,
    NumberRange,
    XyDataSeries, 
    EPolarLabelMode
} = SciChart;
// or, for npm, import { SciChartSurface, ... } from "scichart"

const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(divElementId, {
    theme: new SciChartJsNavyTheme(),
});

const angularXAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Angular,
    axisAlignment: EAxisAlignment.Top,
    visibleRange: new NumberRange(0, 12),
    polarLabelMode: EPolarLabelMode.Parallel,
});
sciChartSurface.xAxes.add(angularXAxis);

const radialYAxis = new PolarNumericAxis(wasmContext, {
    axisAlignment: EAxisAlignment.Right,
    polarAxisMode: EPolarAxisMode.Radial,
    visibleRange: new NumberRange(0, 8),
    labelPrecision: 0,
});
sciChartSurface.yAxes.add(radialYAxis);

const polarLine = new PolarLineRenderableSeries(wasmContext, {
    dataSeries: new XyDataSeries(wasmContext, {
        xValues: Array.from({ length: 20 }, (_, i) => i),
        yValues: Array.from({ length: 20 }, (_, i) => 1 + i / 3)
    }),
    stroke: "pink",
    strokeThickness: 4,
    interpolateLine: false, // set to true for rounded lines
    clipToTotalAngle: false // set to true to clip anything outside the total angle
});
sciChartSurface.renderableSeries.add(polarLine);

Gauge Charts Example

View Gauge Charts DemoView Documentation

Try It for Yourself

Create a basic Gauge Chart using PolarArcAnnotation.

// Demonstrates how to create a gauge chart using ArcAnnotation & PolarPointerAnnotation using SciChart.js
const {
    SciChartPolarSurface,
    SciChartJsNavyTheme,
    NumberRange,
    PolarArcAnnotation,
    PolarNumericAxis,
    EPolarAxisMode,
} = SciChart;
// or, for npm, import { SciChartSurface, ... } from "scichart"

const { wasmContext, sciChartSurface } = await SciChartPolarSurface.create(divElementId, {
    theme: new SciChartJsNavyTheme(),
});

// The gauge angle
const gaugeTotalAngle = Math.PI * 1.2;
const gaugeRange = new NumberRange(0, 100); // the range of the gauge

// Add the axes
const angularXAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Angular,
    visibleRange: gaugeRange, // 0 - 100
    flippedCoordinates: true, // go clockwise
    totalAngle: gaugeTotalAngle,
    startAngle: (Math.PI - gaugeTotalAngle) / 2, // to center the bottom gap
    isVisible: false,
});
sciChartSurface.xAxes.add(angularXAxis);

const radialYAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Radial,
    visibleRange: new NumberRange(0, 10), // 0 - 10
    isVisible: false,
});
sciChartSurface.yAxes.add(radialYAxis);

// (optional) add a gray background Arc
const backgroundArc = new PolarArcAnnotation({
    y1: 10, // outer radius of the arc relative to the center of the gauge
    y2: 8, // inner radius of the arc

    x1: gaugeRange.min, // start angle -> 0
    x2: gaugeRange.max, // end angle -> 100

    fill: "#88888822",
    strokeThickness: 0
});

// The Value Arc
const valueArc = new PolarArcAnnotation({ 
    y1: 10, // outer radius
    y2: 8, // inner radius

    x1: gaugeRange.min, // start angle -> 0
    x2: 50 + Math.random() * 30, // current value (end of arc)

    fill: "#3388FF",
    stroke: "#FFFFFF",
    strokeThickness: 3
});

sciChartSurface.annotations.add(backgroundArc, valueArc);

Polar Ultrasound Heatmap Example

View Polar Ultrasound HeatmapView Documentation

Try It for Yourself

Use the code sample below to create a basic polar heatmap.

const {
    PolarMouseWheelZoomModifier,
    SciChartJsNavyTheme,
    PolarZoomExtentsModifier,
    PolarPanModifier,
    EAxisAlignment,
    PolarNumericAxis,
    EPolarLabelMode,
    SciChartPolarSurface,
    EPolarAxisMode, 
    NumberRange, 
    HeatmapColorMap,
    UniformHeatmapDataSeries,
    PolarUniformHeatmapRenderableSeries,
} = SciChart;
// or, for npm, import { SciChartSurface, ... } from "scichart"

const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(divElementId, {
    theme: new SciChartJsNavyTheme(),
});

const HEATMAP_WIDTH = 48;
const HEATMAP_HEIGHT = 10;

const angularXAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Angular, 
    axisAlignment: EAxisAlignment.Left,
    visibleRange: new NumberRange(0, HEATMAP_WIDTH),

    autoTicks: false,
    majorDelta: 1,

    polarLabelMode: EPolarLabelMode.Perpendicular,
    flippedCoordinates: true, // go clockwise
    totalAngle: Math.PI * 2,
});
sciChartSurface.xAxes.add(angularXAxis);

const radialYAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Radial,
    axisAlignment: EAxisAlignment.Bottom,
    visibleRange: new NumberRange(0, HEATMAP_HEIGHT),

    drawLabels: false, // hide radial labels
    innerRadius: 0.1,
});
sciChartSurface.yAxes.add(radialYAxis);

// Add a heatmap series to the chart
const heatmapSeries = new PolarUniformHeatmapRenderableSeries(wasmContext, {
    dataSeries: new UniformHeatmapDataSeries(wasmContext, {
        zValues: Array.from({ length: HEATMAP_HEIGHT }, () => {
            return Array.from({ length: HEATMAP_WIDTH }, () => {
                return Math.random() * 100;
            });
        }),
        xStart: 0,
        yStart: 0,
        xStep: 1,
        yStep: 1,
    }),
    colorMap: new HeatmapColorMap({
        minimum: 0,
        maximum: 100,
        gradientStops: [
            { offset: 0, color: "lightblue" },
            { offset: 1, color: "indigo" },
        ]
    }),
});
sciChartSurface.renderableSeries.add(heatmapSeries);

Polar Chart Examples for Financial Data Visualization

The below Polar Charts are perfect for showing trends, cycles and comparisons, such as monthly or quarterly financial performance reports.

Polar Radar Charts Example

Compare fund managers, assess the performance of different departments or benchmark a company’s financial health with polar radar charts.

View Polar Radar Chart DemoView Documentation

Try It for Yourself

Polar Radar (or Spider) charts present data in a circular format, with each axis representing a distinct variable or category. To compare variables, try the code below to form a polygon with interconnected axes. Typically, data is plotted using the PolarLineRenderableSeries or PolarMountainRenderableSeries classes.

const {
    SciChartPolarSurface,
    SciChartJsNavyTheme,
    PolarNumericAxis,
    NumberRange,
    PolarCategoryAxis,
    PolarMountainRenderableSeries,
    EPolarAxisMode,
    EPolarGridlineMode,
    XyDataSeries,
} = SciChart;
// or for npm import { SciChartPolarSurface, ... } from "scichart"

const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
    theme: new SciChartJsNavyTheme()
});

const angularXAxis = new PolarCategoryAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Angular,
    labels: [ "Offense", "Shooting", "Defense", "Rebounds", "Passing", "Bench" ], // categories
    startAngle: Math.PI / 2, // start at 12 o'clock
    flippedCoordinates: true, // go clockwise

    majorGridLineStyle: { color: "#88888844" },
    drawMinorGridLines: false,
});
sciChartSurface.xAxes.add(angularXAxis);

const radialYAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Radial,
    gridlineMode: EPolarGridlineMode.Polygons, // this creates the radar chart look
    visibleRange: new NumberRange(0, 10), 
    startAngle: Math.PI / 2, // start at 12 o'clock
    
    labelPrecision: 0,
    majorGridLineStyle: { color: "#88888844" },
    drawMinorGridLines: false,
    drawMajorTickLines: false,
    drawMinorTickLines: false,
});
sciChartSurface.yAxes.add(radialYAxis);

const xValues = [0, 1, 2, 3, 4, 5];
const yValues = [9, 10, 7, 5, 8, 6]; // values for: "Offense", "Shooting", "Defense", "Rebounds", "Passing", "Bench"

// Radar / Spider Charts may also work with `PolarLineRenderableSeries`
const polarMountain = new PolarMountainRenderableSeries(wasmContext, {
    dataSeries: new XyDataSeries(wasmContext, {
        xValues: [...xValues, xValues[xValues.length] + 1], // + 1 to close the loop
        yValues: [...yValues, yValues[0]], // re-plot first point to close the loop
        dataSeriesName: "Golden State Warriors",
    }),
    stroke: "#FFC72C", // Golden State Warriors gold
    fill: "#1D428A80", // Golden State Warriors blue with 50% opacity
    strokeThickness: 4,
});
sciChartSurface.renderableSeries.add(polarMountain);

Polar Mountain Charts Example

Polar mountain charts are ideal for displaying quarterly revenue trends and budget allocation.

View Polar Mountain Chart DemoView Documentation

Try It for Yourself

Create your first Polar Mountain Chart using the PolarMountainRenderableSeries.

// Demonstrates how to create a basic polar mountain chart using SciChart.js
const { 
    SciChartPolarSurface, 
    SciChartJsNavyTheme,
    PolarNumericAxis, 
    PolarMountainRenderableSeries,
    EPolarAxisMode,
    EAxisAlignment,
    NumberRange,
    XyDataSeries, 
    EPolarLabelMode
} = SciChart;
// or, for npm, import { SciChartSurface, ... } from "scichart"

const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(divElementId, {
    theme: new SciChartJsNavyTheme(),
});

const angularXAxis = new PolarNumericAxis(wasmContext, {
    polarAxisMode: EPolarAxisMode.Angular,
    axisAlignment: EAxisAlignment.Top,
    visibleRange: new NumberRange(0, 19),
    polarLabelMode: EPolarLabelMode.Parallel,
});
sciChartSurface.xAxes.add(angularXAxis);

const radialYAxis = new PolarNumericAxis(wasmContext, {
    axisAlignment: EAxisAlignment.Right,
    polarAxisMode: EPolarAxisMode.Radial,
    visibleRange: new NumberRange(0, 8),
    labelPrecision: 0,
});
sciChartSurface.yAxes.add(radialYAxis);

const polarMountain = new PolarMountainRenderableSeries(wasmContext, {
    dataSeries: new XyDataSeries(wasmContext, {
        xValues: Array.from({ length: 20 }, (_, i) => i),
        yValues: Array.from({ length: 20 }, (_, i) => Math.sin(i) * 3 + 4),
    }),
    stroke: "pink",
    strokeThickness: 4,
    interpolateLine: false, // set to true for rounded lines
});
sciChartSurface.renderableSeries.add(polarMountain);

Give SciChart.js v4 a Try Today to Elevate Your Polar Charts

With SciChart’s JavaScript chart library, you get:

• Developer-friendly code samples and all the documentation you could ever want
• Easily adjust the layouts, including the rotation, angle and inner radius
• Responsive design that automatically adjusts to the size and the position of the chart
• Complete control of the order of the rendering
• Super responsive AI and human support

In other words, you get clean code samples that not only work, but also deliver more freedom of your polar chart designs. And that’s not to mention the scalable performance, with over 500,000 data points and multiple charts able to run for days without freezing user interfaces or lagging performance.

Try SciChart.js v4 Today