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Styling Made Easy in .NET MAUI DataGrid: A Simplified Customization Guide

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MAUI DataGrid Styling Made Simple Enhance Your App’s UI

TL;DR: Customize the look and feel of your .NET MAUI DataGrid using resource keys and implicit styles. Learn how to style unbound rows, row headers, freeze pane indicators, search highlights, and drag indicators for rows and columns. This guide covers practical techniques to align your grid’s appearance with your app’s theme, resulting in a polished and professional UI.

Syncfusion .NET MAUI DataGrid fully supports light and dark themes, allowing you to seamlessly match your app’s design. Beyond the default look, the .NET MAUI DataGrid can be styled by adjusting visual elements such as text color, font style and size, headers, and gridlines. You can even apply custom styles to specific rows and cells for more explicit visual cues and an enhanced user experience.

In this post, we’ll show you how to customize the .NET MAUI DataGrid’s appearance using theme resource keys. These keys provide a flexible way to style individual components to fit your design requirements.

We’ll cover styling options for:

  • UnboundRow
  • RowHeader
  • Freeze panes
  • Search highlights
  • Row and Column drag indicators

Unbound row customization

You can style UnboundRows in the .NET MAUI DataGrid using three approaches:

Method 1: Using DefaultStyle

This customization uses the DefaultStyle property to define visual attributes for the UnboundRow, including background color, font style, font family, font size, and text color, as shown below.

<syncfusion:SfDataGrid.DefaultStyle>
    <syncfusion:DataGridStyle 
        UnboundRowBackground="Beige"
        UnboundRowFontAttributes="Bold"
        UnboundRowFontFamily="Congenial Black"
        UnboundRowFontSize="18"
        UnboundRowTextColor="Red" />
</syncfusion:SfDataGrid.DefaultStyle>
Unbound row customization using DefaultStyle property
Unbound row customization using DefaultStyle property

Method 2: Using implicit style

This method applies an implicit style targeting DataGridUnboundRowView, the container for unbound rows in the DataGrid. By setting the background color, you make these rows visually distinct from regular data rows, thereby improving clarity and the overall user experience.

<Style TargetType="syncfusion:DataGridUnboundRowView">
    <Setter Property="Background" Value="Beige" />
</Style>
Customizing unbound rows using implicit styles
Customizing unbound rows using implicit styles

Method 3: Styling individual cells

Applying custom styles to DataGridUnboundRowCell allows you to present non-data-bound content in a visually compelling and meaningful way.

Each property in the style contributes to improving both visual distinction and user focus. Here’s a breakdown of the key customizations:

  • Background color: Differentiates unbound rows from regular rows.
  • Font attributes: Makes important values stand out.
  • Font family: Aligns with your app’s branding.
  • Font size: Improves readability across devices.
  • Text color: Draws attention to key content.
<Style TargetType="syncfusion:DataGridUnboundRowCell">
    <Setter Property="Background" Value="Beige" />
    <Setter Property="FontAttributes" Value="Bold" />
    <Setter Property="FontFamily" Value="Congenial Black" />
    <Setter Property="FontSize" Value="16" />
    <Setter Property="TextColor" Value="Red" />
</Style>
Styling individual cells in .NET MAUI DataGrid
Styling individual cells in .NET MAUI DataGrid

RowHeader customization

Row headers in a DataGrid provide context and control for individual rows, such as selection markers, indicators, or row numbers. To create a consistent look and feel, Syncfusion’s .NET MAUI DataGrid allows you to style row headers using implicit styles.

Applying a distinct background color helps visually separate headers from data cells, improving readability and layout clarity. These cells typically appear on the far-left side of each row and often display row numbers or selection markers.

<Style TargetType="syncfusion:DataGridRowHeaderCell">
    <Setter Property="Background" Value="Beige" />
</Style>
Row header customization in MAUI DataGrid
Row header customization in .NET MAUI DataGrid

Freeze panes customization

You can modify the default visual style of the Syncfusion SfDataGrid by changing the appearance of the freeze pane separator line using the FreezePaneLineColor property. This property belongs to the DataGridStyle class, which provides options for customizing the grid’s appearance. FreezePaneLineColor sets the color of the vertical or horizontal line that separates frozen rows or columns from the scrollable content, making the layout more visually clear.

<syncfusion:SfDataGrid.DefaultStyle>
    <syncfusion:DataGridStyle 
        FreezePaneLineColor="Red" />
</syncfusion:SfDataGrid.DefaultStyle>
Freeze panel customization in .NET MAUI DataGrid
Freeze panel customization in .NET MAUI DataGrid

Search customization

Syncfusion’s .NET MAUI DataGrid supports built-in search functionality, allowing users to quickly locate text across the grid. To make search results more intuitive, you can customize the appearance of matched text and highlights using the DataGridStyle properties.

  • SearchHighlightTextBackground: Sets the background color for the currently focused (active) match, making it easy to identify.
  • SearchHighlightTextColor: Defines the text color for the active match.
  • SearchTextBackground: Defines the background color for all other (inactive) search matches, providing a clear visual distinction from the active match.
  • SearchTextColor: Sets the text color for inactive search matches, ensuring readability while keeping visual focus on the active match.
<syncfusion:SfDataGrid.DefaultStyle>
    <syncfusion:DataGridStyle 
        SearchHighlightTextBackground="Red"
        SearchHighlightTextColor="White"
        SearchTextBackground="Yellow"
        SearchTextColor="Red" />
</syncfusion:SfDataGrid.DefaultStyle>
Search customization in MAUI DataGrid
Search customization in .NET MAUI DataGrid

Row and column drag indicator customization

Row indicator customization

Syncfusion’s .NET MAUI DataGrid supports intuitive row drag-and-drop functionality, allowing users to easily reorder rows. To enhance clarity during drag operations, you can customize the appearance of the drag indicator and drag preview using the DataGridStyle properties:

  • RowDraggingIndicatorLineColor: Specifies the color of the indicator line shown at the potential drop position while dragging a row. This bold visual cue helps users clearly identify the target position.
  • RowDragViewBackgroundColor: Defines the background color of the dragged row’s preview (also called the drag ghost or shadow). A contrasting color ensures the dragged row stands out against the grid.

Together, these settings create a more intuitive and visually distinct interaction model, especially in data-heavy UIs where row reordering is common.

<syncfusion:SfDataGrid.DefaultStyle>
    <syncfusion:DataGridStyle 
        RowDraggingIndicatorLineColor="Red"
        RowDragViewBackgroundColor="Beige" />
</syncfusion:SfDataGrid.DefaultStyle>
Row indicator customization in MAUI DataGrid
Row indicator customization in .NET MAUI DataGrid

Column indicator customization

The SfDataGrid also supports column drag-and-drop functionality for reordering columns. To enhance usability during this operation, customize the visual indicators using these properties:

  • ColumnDraggingIndicatorLineColor: Sets the color of the indicator line that appears at the potential drop position while dragging a column. This makes the drop target clearly visible, improving accuracy.
  • ColumnDragViewBackgroundColor: Defines the background color of the drag preview for the column header. A neutral tone contrasts well with most grid themes, making the dragged column easy to distinguish.
<syncfusion:SfDataGrid.DefaultStyle>
    <syncfusion:DataGridStyle 
        ColumnDraggingIndicatorLineColor="Red"
        ColumnDragViewBackgroundColor="Beige" />
</syncfusion:SfDataGrid.DefaultStyle>
Column indicator customization in MAUI DataGrid
Column indicator customization in .NET MAUI DataGrid

GitHub references

For more details, refer to the GitHub demo.

Supercharge your cross-platform apps with Syncfusion's robust .NET MAUI controls.

Conclusion

Thank you for reading! Customizing the visual styling of your .NET MAUI DataGrid is easier than you might think. With Syncfusion’s powerful XAML support, you can align your DataGrid with your app’s theme and ensure a polished, user-friendly experience across both light and dark modes. Try these styling techniques in your next project and explore even more options in our getting started with Syncfusion .NET MAUI documentation.

The latest version of Essential Studio is available from the license and downloads page for our customers. If you’re not a Syncfusion customer, you can start with our 30-day trial to evaluate the components.

If you have any questions or need assistance, feel free to reach out through the support forum, support portal, or feedback portal. We’re always happy to help!

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The New JSON Index in SQL Server 2025

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Explore how to create and use a JSON index in SQL Server to improve query performance for tables that store JSON data.

The post The New JSON Index in SQL Server 2025 appeared first on MSSQLTips.com.

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Microsoft AI’s first in-house image generator MAI-Image-1 is now available

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Microsoft’s first in-house AI image generator, MAI-Image-1, is now available in two products, Bing Image Creator and Copilot Audio Expressions. The company announced the model in October. Microsoft AI chief Mustafa Suleyman wrote in a post on X that the text-to-image model will be “coming soon” to the EU. 

Suleyman added that the model “really excels at” generating images of food and nature scenes, as well as artsy lighting and photorealistic detail.

Microsoft has previously posted more details on its blog: “MAI-Image-1 excels at generating photorealistic imagery, like lighting (e.g., bounce light, reflections), landscapes, and much more. This is particularly so when compared to many larger, slower models. Its combination of speed and quality means users can get their ideas on screen faster, iterate through them quickly, and then transfer their work to other tools to continue refining.”

Microsoft’s MAI-Image-1 will also create AI-generated art to accompany AI-generated audio stories in the “story mode” of Copilot’s text-to-speech platform, Copilot Audio Expressions.

In August, Microsoft announced their first in-house AI models – the speech model MAI-Voice-1 and the text-based model MAI-1-preview. At the time, the company said it planned to use MAI-1-preview in its Copilot AI assistant in certain unspecified cases, a sign that Microsoft might be pivoting away from its reliance on OpenAI’s models. As of today, Microsoft says that its Copilot chatbot is transitioning to OpenAI’s latest model GPT-5, while also offering Anthropic’s Claude AI models as options to users. 

MAI-Image-1 is listed as one of the three AI models available on Bing’s image creator website and app. The other two models, DALL-E 3 and GPT-4o, are from OpenAI.

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Managing Updates using Autopatch with Aria Hanson

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The future of updating Windows is here! Richard talks to Aria Hanson about Windows Autopatch, the consolidation of Microsoft's various update mechanisms to keep your managed Windows devices current. Aria discusses the deprecation of Windows Server Update Services (WSUS) and the move to always-on cloud updates. The conversation turns to the various techniques for quickly rolling out updates to machines while still allowing the process to stop if there are problems, whether you first update IT workstations, then beta testers, and so on. There's also the Windows Roadmap to give you a heads-up on new features and updates coming, so you can decide in advance whether they will be available on your machines, without changing your overall update policies!

Links

Recorded October 27, 2025





Download audio: https://cdn.simplecast.com/audio/c2165e35-09c6-4ae8-b29e-2d26dad5aece/episodes/483e43fb-3559-402b-a0a7-3d6294734993/audio/df9b946a-4549-4a1c-9cc7-755cbbaecc5b/default_tc.mp3?aid=rss_feed&feed=cRTTfxcT
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GCast 203: Mastering GitHub Copilot course, Lesson 1 Getting Started with GitHub Copilot, Step 3

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GCast 203:

Mastering GitHub Copilot course, Lesson 1 Getting Started with GitHub Copilot, Step 3

In this video, I walk through Step 3 of the excellent Microsoft Learn tutorial "Getting Started with GitHub Copilot." In this step, you learn to use the Edit Mode of GitHub Copilot to generate code for your application.

Links:
https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming/
https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming/tree/main/Getting-Started-with-GitHub-Copilot

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Daily Reading List – November 4, 2025 (#658)

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Great day at the office, and a terrific reading list (if I may say so) today. Many good “think” pieces versus product announcements.

[blog] Most of What We Call Progress. Wonderful post on the things that many of us tend to learn over time while building systems.

[blog] Leaving the Cloud Isn’t for Everyone. Right on. For a subset of folks, running their own hardware and systems is the right thing competitively, and from a business sense. For the other 93%, you’re wasting time and money doing it yourself.

[article] Generative AI in the Real World: Chris Butler on GenAI in Product Management. Good discussion (and transcript for those who read faster than they listen). Product management is ripe for taking advantage of AI.

[blog] What have we learned about building agentic AI tools? I agree with most of these, but not sure RAG-for-codebases being completely wrong. Do repo search tools replace that? Not sure.

[blog] The Data Engineering Agent is now in preview. Looks cool. It doesn’t look like it replaces a data engineer, as you still need to know what to ask for. But this type of assistance makes smart people better.

[article] What Good Software Supply Chain Security Looks Like. Not a “hot” topic like it was a few years ago, but no less important.

[blog] Why Log Data Management Is a Thing. It’s a question of data, says James. Here’s a good roundup of some of the players trying to get log management under control.

[blog] Medium CEO explains how AI is changing writing. Writing to learn and think is important. It’s why I don’t use any AI on any of this, or other newsletters I write. But other circumstances don’t require that so much “thinking” to occur.

[blog] How Design Teams Are Reacting to 10x Developer Productivity from AI. Good timing here, as I’m talking to a group of designers today about the expected impact of AI.

[blog] Accelerating the magic cycle of research breakthroughs and real-world applications. We’re going faster and discovering more things in Google Research because of AI. Great to see.

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