The performance of Avalonia applications can be significantly improved by taking into account several key considerations during the development process. This document discusses the steps you can take to optimize the performance of your Avalonia applications.
One of the most effective ways to improve performance in Avalonia is to use
CompiledBindings in your application. Compiled bindings enable faster data binding by compiling the binding path at compile time, thus reducing the overhead of reflection at runtime.
Choose the Right Control for Data Display
When you need to display a large amount of data in a
DataGrid or a
TreeView with many nodes, it is recommended to use the
TreeDataGrid is built from scratch and provides better performance than the normal
DataGrid. It supports virtualization and is particularly useful if you need a virtualized tree, as it has hierarchical data templates.
Avoid using the
DataGrid control if you don't need editing features. It's generally regarded as a less optimal control for performance.
When working with large amounts of data, enabling virtualization can improve the performance of your Avalonia application. Virtualization means that only the visible items in the control are rendered, which significantly improves the performance when there are a large number of items to display.
TreeDataGrid supports virtualization and can handle thousands of rows with complex cells effectively.
Optimize Your Visual Tree Structure
Performance can often be hindered by a deeply nested and complicated layout. Strive to maintain your XAML markup as uncomplicated and flat as possible. Rendering UI elements onscreen triggers a "layout pass" twice for every single element (a measure pass followed by an arrange pass).
This layout pass process is computation-heavy—the more child elements an item has, the more calculations are needed. Therefore, minimizing the complexity of your visual tree in Avalonia UI can significantly enhance the application's performance.
Minimize Use of Run for Setting Text Properties
It's advisable to minimize the use of Run within a TextBlock as it can lead to more resource-demanding operations. If you're utilizing Run to define text properties, consider setting those properties directly on the TextBlock instead. This practice can help enhance the performance of your application.
Use StreamGeometries Over PathGeometries
When dealing with geometries in Avalonia UI,
StreamGeometry is a more efficient alternative to
StreamGeometry is specifically optimized to handle numerous
PathGeometry objects, consuming less memory and offering superior performance. Hence, when a choice is available, it's recommended to use
PathGeometry for improved application performance.
Use Reduced Image Sizes
When your application necessitates the display of smaller images or thumbnails, it's beneficial to generate and use reduced-size versions of your images. By default, Avalonia will load and decode your image at its original full size, which can potentially lead to performance bottlenecks if you're loading large images and scaling them down to thumbnail sizes in controls like an
Resolve Your Binding Errors
Binding errors are a prevalent source of performance issues in Avalonia UI applications. Each occurrence of a binding error causes a performance dip as the application attempts to resolve the binding and logs the error to the trace log. Naturally, the more binding errors present, the greater the impact on performance.
A significant contributor to binding errors is the use of
RelativeSource bindings in
DataTemplates, as the binding usually isn't resolved correctly until the
DataTemplate has completed its initialization. It's recommended to avoid
RelativeSource.FindAncestor entirely. A more efficient approach is to define an attached property and utilize property inheritance to push values down the visual tree, rather than performing a lookup of the visual tree.
Asynchronously Load Data
Performance issues, UI freezes, and unresponsive applications often stem from the way data is loaded. To prevent overloading the UI thread, ensure that your data is loaded asynchronously.