How to Create a Blazor Chart — Step-by-Step Tutorial (2026)

You want to add charts to your Blazor app. Maybe it is a dashboard for your SaaS product, an admin panel with analytics, or a reporting page for your enterprise app. But where do you start?

This tutorial covers everything — from rendering a raw SVG bar chart in Blazor with zero dependencies, to building a fully interactive multi-series line chart with tooltips, crosshairs, and real-time data. By the end, you will know exactly how Blazor chart components work and how to ship them to production.

Option 1: Build a Chart from Scratch with SVG

Before reaching for a library, it helps to understand how Blazor charts work under the hood. Every chart is ultimately SVG or Canvas. Here is a minimal bar chart in pure Blazor — no libraries, no JavaScript:

@page "/my-chart"

<svg width="400" height="200" viewBox="0 0 400 200">
    @foreach (var (label, value, index) in data.Select((d, i) => (d.Label, d.Value, i)))
    {
        var barHeight = value * 2;
        var x = index * 80 + 20;
        var y = 200 - barHeight;

        <rect x="@x" y="@y" width="60" height="@barHeight"
              fill="#8b5cf6" rx="4" />
        <text x="@(x + 30)" y="195" text-anchor="middle"
              fill="#9490b3" font-size="12">@label</text>
    }
</svg>

@code {
    private List<(string Label, double Value)> data = new()
    {
        ("Jan", 45), ("Feb", 72), ("Mar", 58), ("Apr", 88), ("May", 64)
    };
}

This renders five purple bars with labels. It works. But it has serious limitations:

No tooltips — users cannot hover to see exact values
No responsiveness — fixed width, no resize handling
No accessibility — screen readers cannot interpret the data
No axes — no gridlines, tick marks, or axis labels
No animation — data changes pop in without transitions
No interactivity — no click events, no selection, no zoom

Building all of that from scratch is hundreds of hours of work. That is why chart libraries exist.

Option 2: Use a Blazor Chart Library

A good chart library handles responsive layout, accessibility, tooltips, animations, axis formatting, and cross-browser rendering so you can focus on your data. Here is how the major Blazor chart libraries compare in 2026:

Feature	Arcadia Controls	MudBlazor	Radzen	ChartJs.Blazor
Rendering	Pure SVG (C#)	SVG (JS interop)	SVG (JS interop)	Canvas (JS)
JS required	No	Yes	Yes	Yes (Chart.js)
Free chart types	4	6	8	8
Paid chart types	16 total	N/A	12+	N/A
.NET 10	Yes	Yes	Yes	No
Auto render mode	Yes	Limited	Yes	No
Accessibility	WCAG 2.1 AA	Partial	Partial	None
Dashboard widgets	7	None	Some	None
Last updated	March 2026	March 2026	February 2026	2023

For this tutorial, we will use Arcadia Controls because it renders pure SVG from C# (no JavaScript to configure), supports every Blazor render mode, and has a free Community Edition.

Tutorial — Create a Line Chart with Arcadia Controls

Step 1: Create a new Blazor project

If you already have a Blazor project, skip to Step 2. Otherwise:

dotnet new blazor -n ChartDemo --interactivity Auto
cd ChartDemo

This creates a .NET 9+ Blazor project with Auto interactivity (server-side rendering with WebAssembly takeover).

Step 2: Install the Arcadia Charts package

dotnet add package Arcadia.Charts

The package targets .NET 5 through .NET 10, so it works regardless of your project’s target framework.

Step 3: Add the stylesheet

Open your App.razor (or _Host.cshtml for older Blazor Server projects) and add the CSS link in the <head>:

<link rel="stylesheet" href="_content/Arcadia.Charts/arcadia-charts.css" />

Step 4: Create a page with a basic line chart

Create a new file Components/Pages/Dashboard.razor:

@page "/dashboard"
@using Arcadia.Charts

<h1>Sales Dashboard</h1>

<ArcadiaLineChart Width="700"
                  Height="400"
                  XAxisTitle="Month"
                  YAxisTitle="Revenue ($k)"
                  ShowGrid="true">
    <ChartSeries Name="Revenue"
                 Data="@revenue"
                 Color="#8b5cf6" />
</ArcadiaLineChart>

@code {
    private double[] revenue = { 32.1, 41.5, 38.7, 52.3, 61.8, 58.2,
                                  67.4, 72.1, 69.8, 78.5, 85.3, 91.7 };
}

Navigate to /dashboard and you will see a line chart with monthly revenue data. The chart renders as SVG — inspect the DOM and you will see <svg>, <path>, <circle>, and <text> elements. No <canvas>, no JavaScript.

Step 5: Add multiple series

Real dashboards compare data. Add a second series to show year-over-year comparison:

<ArcadiaLineChart Width="700"
                  Height="400"
                  XAxisTitle="Month"
                  YAxisTitle="Revenue ($k)"
                  ShowGrid="true"
                  ShowLegend="true">
    <ChartSeries Name="2025 Revenue"
                 Data="@revenue2025"
                 Color="#8b5cf6" />
    <ChartSeries Name="2026 Revenue"
                 Data="@revenue2026"
                 Color="#ec4899" />
</ArcadiaLineChart>

@code {
    private double[] revenue2025 = { 32.1, 41.5, 38.7, 52.3, 61.8, 58.2,
                                      67.4, 72.1, 69.8, 78.5, 85.3, 91.7 };
    private double[] revenue2026 = { 38.5, 49.2, 45.1, 59.7, 70.3, 65.8,
                                      74.2, 81.5, 77.3, 0, 0, 0 };
}

The ShowLegend="true" parameter adds a color-coded legend so users can distinguish the series.

Step 6: Add area fill and smooth curves

Line charts become more readable with area fills for trend visualization:

<ArcadiaLineChart Width="700"
                  Height="400"
                  XAxisTitle="Month"
                  YAxisTitle="Revenue ($k)"
                  ShowGrid="true"
                  ShowLegend="true"
                  Smooth="true">
    <ChartSeries Name="2025 Revenue"
                 Data="@revenue2025"
                 Color="#8b5cf6"
                 ShowArea="true"
                 AreaOpacity="0.15" />
    <ChartSeries Name="2026 Revenue"
                 Data="@revenue2026"
                 Color="#ec4899"
                 ShowArea="true"
                 AreaOpacity="0.15" />
</ArcadiaLineChart>

The Smooth="true" parameter uses Catmull-Rom spline interpolation to create smooth curves instead of straight line segments. ShowArea="true" with AreaOpacity="0.15" adds a translucent fill beneath each line.

Step 7: Add tooltips and crosshair

For an interactive experience, enable tooltips and a crosshair that follows the cursor:

<ArcadiaLineChart Width="700"
                  Height="400"
                  XAxisTitle="Month"
                  YAxisTitle="Revenue ($k)"
                  ShowGrid="true"
                  ShowLegend="true"
                  Smooth="true"
                  ShowTooltips="true"
                  ShowCrosshair="true"
                  TooltipFormat="$#,##0.0k">
    <ChartSeries Name="2025 Revenue"
                 Data="@revenue2025"
                 Color="#8b5cf6"
                 ShowArea="true"
                 AreaOpacity="0.15" />
    <ChartSeries Name="2026 Revenue"
                 Data="@revenue2026"
                 Color="#ec4899"
                 ShowArea="true"
                 AreaOpacity="0.15" />
</ArcadiaLineChart>

The tooltip shows all series values at the hovered position. The crosshair draws vertical and horizontal reference lines. The TooltipFormat parameter controls number formatting inside the tooltip.

Adding Interactivity

Click events

Respond to user clicks on data points:

<ArcadiaLineChart Width="700"
                  Height="400"
                  OnClick="HandleDataPointClick"
                  ShowTooltips="true">
    <ChartSeries Name="Revenue"
                 Data="@revenue"
                 Color="#8b5cf6" />
</ArcadiaLineChart>

<p>Selected: @selectedPoint</p>

@code {
    private double[] revenue = { 32.1, 41.5, 38.7, 52.3, 61.8, 58.2 };
    private string selectedPoint = "Click a data point";

    private void HandleDataPointClick(ChartClickEventArgs args)
    {
        selectedPoint = $"{args.SeriesName}: {args.Value:C1}k at index {args.Index}";
    }
}

Annotations and reference lines

Mark important thresholds or targets on your chart:

<ArcadiaLineChart Width="700"
                  Height="400"
                  ShowGrid="true"
                  ShowTooltips="true">
    <ChartSeries Name="Revenue"
                 Data="@revenue"
                 Color="#8b5cf6" />
    <ChartAnnotation Type="AnnotationType.HorizontalLine"
                     Value="70"
                     Color="#f59e0b"
                     Label="Target"
                     StrokeDash="6,4" />
</ArcadiaLineChart>

The annotation renders as a dashed horizontal line at the 70k mark with a “Target” label. This is useful for KPI tracking, SLA thresholds, and budget targets.

Dynamic data updates

Charts automatically re-render when bound data changes, just like any Blazor component:

<ArcadiaLineChart Width="700"
                  Height="400"
                  ShowTooltips="true"
                  Smooth="true">
    <ChartSeries Name="Live Data"
                 Data="@liveData"
                 Color="#10b981" />
</ArcadiaLineChart>

<button @onclick="AddDataPoint" class="btn btn-primary">Add Point</button>

@code {
    private List<double> liveData = new() { 10, 25, 18, 32, 28 };

    private void AddDataPoint()
    {
        var random = new Random();
        liveData.Add(liveData.Last() + random.Next(-10, 15));
        StateHasChanged();
    }
}

Each time you click the button, a new data point is added and the chart smoothly updates. Since Arcadia charts are part of the Blazor component tree, they participate in standard Blazor diffing — only the changed SVG elements are updated in the DOM.

Creating Other Chart Types

The same patterns work across all Arcadia chart types. Here is a bar chart:

<ArcadiaBarChart Width="600"
                 Height="350"
                 ShowTooltips="true"
                 ShowGrid="true"
                 Orientation="Orientation.Vertical">
    <ChartSeries Name="Q1"
                 Data="@(new double[] { 85, 72, 91, 68, 77 })"
                 Color="#8b5cf6" />
    <ChartSeries Name="Q2"
                 Data="@(new double[] { 92, 81, 88, 75, 83 })"
                 Color="#ec4899" />
</ArcadiaBarChart>

And a pie chart:

<ArcadiaPieChart Width="400"
                 Height="400"
                 ShowLabels="true"
                 ShowTooltips="true">
    <PieSlice Label="Desktop" Value="58.3" Color="#8b5cf6" />
    <PieSlice Label="Mobile" Value="31.2" Color="#ec4899" />
    <PieSlice Label="Tablet" Value="10.5" Color="#f59e0b" />
</ArcadiaPieChart>

Going Further

This tutorial covered the fundamentals of creating Blazor charts. Here is where to go next:

More chart types:

Bar Chart docs — grouped, stacked, horizontal
Pie Chart docs — slices, labels, custom colors
Scatter Chart docs — point clouds, bubble sizing
All chart types overview — complete list with examples

Dashboard widgets:

KPI Card — single-value metrics with trend arrows
Gauge — radial and linear gauges
Sparkline — inline mini charts

Advanced features:

Streaming data — real-time charts with WebSocket feeds
Theming — customize colors, fonts, and dark/light modes
Export — save charts as PNG or SVG

Tools:

Chart Playground — interactive builder to design charts visually
MCP Server — AI-assisted chart code generation
NuGet Package — latest release

Get Started Now

Install the free Community Edition and have your first chart rendering in under a minute:

dotnet add package Arcadia.Charts

The Community Edition includes Line, Bar, Pie, and Scatter charts — enough for most dashboards. When you need advanced visualizations like Treemaps, Heatmaps, or Candlestick charts, Pro starts at $299/developer/year.

Every chart in this tutorial works in Blazor Server, WebAssembly, and Auto render modes without any code changes. No JavaScript configuration required.