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Getting Started

This guide provides the information you need to start using the Telerik UI for .NET MAUI Chart by adding the control to your project.

At the end, you will be able to achieve the following result.

Basic RadCartesianChart


Before adding the Chart, you need to:

  1. Set up your .NET MAUI application.

  2. Download Telerik UI for .NET MAUI.

  3. Install Telerik UI for .NET MAUI.

Define the Control

  1. When your .NET MAUI application is set up, you are ready to add a Chart control to your page.

    <telerik:RadCartesianChart x:Name="chart" AutomationId="chart">
          <local:ViewModel />
          <telerik:CategoricalAxis />
          <telerik:NumericalAxis />
          <telerik:BarSeries CategoryBinding="Category"
                             ItemsSource="{Binding Data}" />
  2. Add the following namespace:

  3. Register the Telerik controls through the Telerik.Maui.Controls.Compatibility.UseTelerik extension method called inside the CreateMauiApp method of the MauiProgram.cs file of your project:

     using Telerik.Maui.Controls.Compatibility;
    public static class MauiProgram
      public static MauiApp CreateMauiApp()
          var builder = MauiApp.CreateBuilder();
              .ConfigureFonts(fonts =>
                  fonts.AddFont("OpenSans-Regular.ttf", "OpenSansRegular");
          return builder.Build();

Visualize Sample Data

  1. Now that you have added the control to your project, define the business model:

    public class CategoricalData
    public object Category { get; set; }
    public double Value { get; set; }
  2. Set the ViewModel:

    public class ViewModel
    public ViewModel()
        this.Data = GetCategoricalData();
    public ObservableCollection<CategoricalData> Data { get; set; }
    private static ObservableCollection<CategoricalData> GetCategoricalData()
        var data = new ObservableCollection<CategoricalData>  {
            new CategoricalData { Category = "A", Value = 0.63 },
            new CategoricalData { Category = "B", Value = 0.85 },
            new CategoricalData { Category = "C", Value = 1.05 },
            new CategoricalData { Category = "D", Value = 0.96 },
            new CategoricalData { Category = "E", Value = 0.78 },
        return data;

See Also

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