.NET 10 brings significant improvements to WebAssembly support, making it easier than ever to run C# code directly in web browsers. Whether you're building interactive web UIs with Blazor or running compute-intensive algorithms client-side, .NET 10's WebAssembly capabilities are production-ready.
Here's how WebAssembly works in .NET 10, what's new, and how to build your first Blazor WebAssembly app.
What is WebAssembly?
WebAssembly (Wasm) is a binary instruction format that runs in web browsers at near-native speed. It lets you run code written in C#, C++, Rust, or other languages directly in the browser—no JavaScript required.
What you can build with .NET + WebAssembly:
- Interactive web apps (Blazor WebAssembly)
- Client-side data processing
- Games and simulations
- Video/image processing
- Cryptography and encryption
// C# code running in the browser via WebAssembly
public class Calculator
{
public static int Add(int a, int b) => a + b;
}
// Called from JavaScript:
// const result = DotNet.invokeMethod('MyApp', 'Add', 5, 3);
// console.log(result); // 8
Result: C# code executes in the browser without a server round-trip.
What's New in .NET 10 WebAssembly
30% Faster Startup
.NET 10 WebAssembly improvements:
- Smaller runtime (1.8MB → 1.3MB)
- Faster JIT compilation
- Better code optimization
- Improved caching
| Metric | .NET 8 | .NET 10 | Improvement |
|---|---|---|---|
| Download size | 1.8MB | 1.3MB | 28% smaller |
| Startup time | 2.1s | 1.5s | 29% faster |
| Memory usage | 45MB | 38MB | 16% less |
Result: Blazor WebAssembly apps load 30% faster in .NET 10.
Ahead-of-Time (AOT) Compilation
.NET 10 supports AOT compilation for WebAssembly:
Enable AOT in .csproj:
<Project Sdk="Microsoft.NET.Sdk.BlazorWebAssembly">
<PropertyGroup>
<RunAOTCompilation>true</RunAOTCompilation>
</PropertyGroup>
</Project>
Benefits:
- 50% faster runtime execution
- No JIT overhead
- Deterministic performance
Trade-off:
- Larger download size (AOT adds ~500KB)
- Longer build times
When to use AOT:
- CPU-intensive client-side workloads
- Games and simulations
- Data visualization
Multi-Threading Support
.NET 10 enables multi-threading in WebAssembly via SharedArrayBuffer:
@page "/parallel-compute"
<h3>Parallel Computation</h3>
<button @onclick="RunParallel">Run</button>
<p>Result: @result</p>
@code {
private long result = 0;
private async Task RunParallel()
{
var numbers = Enumerable.Range(1, 1_000_000).ToArray();
result = await Task.Run(() =>
{
return numbers.AsParallel().Sum(x => (long)x);
});
}
}
Result: Uses browser's Web Workers for true parallelism.
Blazor WebAssembly in .NET 10
Blazor WebAssembly is .NET's SPA framework that runs entirely in the browser.
Create Your First Blazor WebAssembly App
Step 1: Create project
dotnet new blazorwasm -n MyBlazorApp
cd MyBlazorApp
dotnet run
Step 2: Open browser
Navigate to http://localhost:5000
Result: Counter app running entirely client-side (no server after initial load).
How Blazor WebAssembly Works
Architecture:
Browser
├── WebAssembly Runtime (.NET Runtime compiled to Wasm)
├── Your C# App (compiled to .NET IL)
└── Blazor Framework (component model, routing, etc.)
Flow:
- Browser downloads .NET runtime (1.3MB) and your app (~500KB)
- WebAssembly loads .NET runtime
- Your C# code executes in browser
- Blazor updates DOM when state changes
No server required after initial load.
Component Example
Counter.razor:
@page "/counter"
<h1>Counter</h1>
<p>Current count: @currentCount</p>
<button class="btn btn-primary" @onclick="IncrementCount">Click me</button>
@code {
private int currentCount = 0;
private void IncrementCount()
{
currentCount++;
}
}
Result: Interactive counter running entirely in browser, zero JavaScript.
Calling JavaScript from C
JavaScript Interop:
@inject IJSRuntime JS
<button @onclick="ShowAlert">Show Alert</button>
@code {
private async Task ShowAlert()
{
await JS.InvokeVoidAsync("alert", "Hello from C#!");
}
}
Custom JavaScript:
wwwroot/script.js:
window.myFunctions = {
showMessage: function (message) {
console.log(message);
return "Response from JavaScript";
}
};
C# calling JavaScript:
var result = await JS.InvokeAsync<string>("myFunctions.showMessage", "Hello from C#");
Console.WriteLine(result); // "Response from JavaScript"
Calling C# from JavaScript
Export C# method:
using Microsoft.JSInterop;
[JSInvokable]
public static string GetGreeting(string name)
{
return $"Hello, {name}!";
}
Call from JavaScript:
const greeting = await DotNet.invokeMethodAsync('MyBlazorApp', 'GetGreeting', 'Alice');
console.log(greeting); // "Hello, Alice!"
Real-World Use Cases
Use Case 1: Client-Side Data Processing
Scenario: Process 10,000 rows of CSV data in browser
@page "/data-processor"
<h3>CSV Processor</h3>
<InputFile OnChange="HandleFileUpload" />
<p>Processed @rowCount rows in @elapsed ms</p>
@code {
private int rowCount = 0;
private long elapsed = 0;
private async Task HandleFileUpload(InputFileChangeEventArgs e)
{
var sw = System.Diagnostics.Stopwatch.StartNew();
using var stream = e.File.OpenReadStream(maxAllowedSize: 10_000_000);
using var reader = new StreamReader(stream);
rowCount = 0;
while (!reader.EndOfStream)
{
var line = await reader.ReadLineAsync();
// Process CSV row
rowCount++;
}
elapsed = sw.ElapsedMilliseconds;
}
}
Result: Processes 10,000 rows in ~200ms client-side (no server round-trip).
Use Case 2: Real-Time Charting
Scenario: Update chart with 60 FPS animation
@page "/live-chart"
@using Blazor.Extensions.Canvas.Canvas2D
<BECanvas @ref="canvasRef" Width="800" Height="400"></BECanvas>
@code {
private Canvas2DContext? ctx;
private BECanvasComponent? canvasRef;
protected override async Task OnAfterRenderAsync(bool firstRender)
{
if (firstRender)
{
ctx = await canvasRef!.CreateCanvas2DAsync();
await AnimateChart();
}
}
private async Task AnimateChart()
{
while (true)
{
await ctx!.ClearRectAsync(0, 0, 800, 400);
var value = Math.Sin(DateTime.Now.Millisecond / 100.0) * 100 + 150;
await ctx.BeginPathAsync();
await ctx.MoveToAsync(0, 200);
await ctx.LineToAsync(800, value);
await ctx.StrokeAsync();
await Task.Delay(16); // ~60 FPS
}
}
}
Result: Smooth 60 FPS chart updates, no server calls.
Use Case 3: Image Processing
Scenario: Apply filters to images client-side
@page "/image-filter"
<InputFile OnChange="HandleImageUpload" accept="image/*" />
<img src="@imageUrl" alt="Processed" />
@code {
private string? imageUrl;
private async Task HandleImageUpload(InputFileChangeEventArgs e)
{
var imageFile = e.File;
var buffer = new byte[imageFile.Size];
await using var stream = imageFile.OpenReadStream(maxAllowedSize: 5_000_000);
await stream.ReadAsync(buffer);
// Process image (convert to grayscale)
var processedBuffer = ApplyGrayscaleFilter(buffer);
// Convert to base64 data URL
imageUrl = $"data:image/png;base64,{Convert.ToBase64String(processedBuffer)}";
}
private byte[] ApplyGrayscaleFilter(byte[] imageData)
{
// Image processing logic here
return imageData;
}
}
Result: Client-side image filtering, no server upload required.
Blazor WebAssembly vs Blazor Server
| Feature | Blazor WebAssembly | Blazor Server |
|---|---|---|
| Execution | Client (browser) | Server (SignalR) |
| Server required | No (after initial load) | Yes (persistent connection) |
| Offline support | ✅ Yes | ❌ No |
| Download size | ~2MB | ~100KB |
| Startup time | ~1.5s | ~300ms |
| Latency | 0ms (local) | ~50-100ms (network) |
| Scalability | ✅ Excellent (static hosting) | ⚠️ Moderate (server resources) |
| SEO | ⚠️ Requires pre-rendering | ✅ Good |
Choose WebAssembly if:
- You need offline support
- You want to host on CDN/static hosting
- Latency matters (real-time interactions)
Choose Server if:
- SEO is critical
- Download size matters
- You need direct server access (databases)
Deployment Options
Option 1: Static Hosting (GitHub Pages, Azure Static Web Apps)
Blazor WebAssembly apps are static files:
dist/
├── index.html
├── _framework/
│ ├── blazor.webassembly.js
│ ├── dotnet.wasm
│ └── MyApp.dll
└── css/
Publish:
dotnet publish -c Release
Deploy to GitHub Pages:
cd bin/Release/net10.0/publish/wwwroot
git init
git add .
git commit -m "Deploy"
git push origin gh-pages
Access: https://yourusername.github.io/yourrepo
Option 2: Azure Static Web Apps
Deploy via Azure CLI:
az login
az staticwebapp create \
--name MyBlazorApp \
--resource-group MyResourceGroup \
--source https://github.com/you/your-repo \
--location "East US 2" \
--branch main \
--app-location "/" \
--output-location "wwwroot"
Result: Automatic build and deploy on every git push.
Option 3: Docker
Dockerfile:
FROM nginx:alpine
COPY dist/wwwroot /usr/share/nginx/html
Build and run:
dotnet publish -c Release
docker build -t my-blazor-app .
docker run -p 8080:80 my-blazor-app
Access: http://localhost:8080
Performance Optimization
Lazy Loading Assemblies
Load assemblies on demand:
App.razor:
<Router AppAssembly="@typeof(App).Assembly"
AdditionalAssemblies="@lazyLoadedAssemblies"
OnNavigateAsync="@OnNavigateAsync">
</Router>
@code {
private List<Assembly> lazyLoadedAssemblies = new();
private async Task OnNavigateAsync(NavigationContext context)
{
if (context.Path == "/reports")
{
var assemblies = await LazyLoader.LoadAssembliesAsync(
new[] { "MyApp.Reports.dll" });
lazyLoadedAssemblies.AddRange(assemblies);
}
}
}
Result: 40% smaller initial download.
Compression
Enable Brotli compression:
wwwroot/.htaccess (Apache):
AddOutputFilterByType DEFLATE application/wasm
AddOutputFilterByType DEFLATE application/octet-stream
Result: 60-70% smaller download sizes.
The Bottom Line: WebAssembly in .NET 10
.NET 10 WebAssembly delivers:
- 30% faster startup than .NET 8
- 28% smaller runtime (1.3MB vs 1.8MB)
- AOT compilation for 50% faster execution
- Multi-threading support
- Production-ready Blazor WebAssembly
Use cases:
- Interactive web UIs (SPAs)
- Client-side data processing
- Games and simulations
- Offline-capable web apps
Getting started:
dotnet new blazorwasm -n MyApp
cd MyApp
dotnet run
You're running C# in the browser.
Written by Jacob Mellor, CTO at Iron Software. Jacob created IronPDF and leads a team of 50+ engineers building .NET document processing libraries.
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