Pros of Windows-classic-samples

• Focuses on traditional desktop applications, providing examples for Win32 API and COM
• Includes samples for older Windows versions, beneficial for maintaining legacy systems
• Offers a wider range of low-level system programming examples

Cons of Windows-classic-samples

• Less emphasis on modern UI and UX patterns
• May not fully leverage newer Windows features and APIs
• Potentially more complex setup and dependencies for some samples

Code Comparison

Windows-classic-samples (Win32 API):

HWND hwnd = CreateWindow(
    szWindowClass,
    szTitle,
    WS_OVERLAPPEDWINDOW,
    CW_USEDEFAULT, CW_USEDEFAULT,
    500, 100,
    NULL,
    NULL,
    hInstance,
    NULL
);

Windows-universal-samples (UWP):

MainPage rootPage = new MainPage();
Window.Current.Content = rootPage;
Window.Current.Activate();

The classic sample uses the Win32 API to create a window, while the universal sample uses UWP framework for a more modern, touch-friendly UI approach. Windows-classic-samples generally require more boilerplate code for basic functionality, whereas Windows-universal-samples leverage higher-level abstractions provided by the UWP framework.

Pros of Windows-driver-samples

• Focuses on low-level system programming and hardware interaction
• Provides examples for various driver types (e.g., KMDF, UMDF, WDM)
• Includes samples for specific hardware components like USB, audio, and networking

Cons of Windows-driver-samples

• Steeper learning curve due to complexity of driver development
• Requires more specialized knowledge and development tools
• Limited applicability for general app developers

Code Comparison

Windows-driver-samples (KMDF driver):

NTSTATUS
DriverEntry(
    _In_ PDRIVER_OBJECT  DriverObject,
    _In_ PUNICODE_STRING RegistryPath
)
{
    WDF_DRIVER_CONFIG config;
    NTSTATUS status;

Windows-universal-samples (UWP app):

public sealed partial class MainPage : Page
{
    public MainPage()
    {
        this.InitializeComponent();
    }

Summary

Windows-driver-samples is tailored for system-level developers working on hardware drivers, offering in-depth examples for various driver types. It requires more specialized knowledge but provides valuable resources for low-level system programming. In contrast, Windows-universal-samples caters to a broader audience of app developers, focusing on Universal Windows Platform (UWP) applications with a gentler learning curve and wider applicability for general app development scenarios.

Pros of Windows-Machine-Learning

• Focused specifically on machine learning integration in Windows applications
• Provides tools and samples for working with ONNX models in Windows
• Includes examples of hardware acceleration for ML inference

Cons of Windows-Machine-Learning

• Narrower scope compared to the broader range of Windows features covered in Windows-universal-samples
• May require more specialized knowledge in machine learning concepts
• Fewer overall samples and code examples

Code Comparison

Windows-Machine-Learning sample:

LearningModel model = await LearningModel.LoadFromFileAsync(modelFile);
LearningModelSession session = new LearningModelSession(model);
LearningModelBinding binding = new LearningModelBinding(session);
binding.Bind("input", inputTensor);
var results = await session.EvaluateAsync(binding, "output");

Windows-universal-samples example:

StorageFile file = await StorageFile.GetFileFromApplicationUriAsync(new Uri("ms-appx:///Assets/sample.txt"));
string text = await FileIO.ReadTextAsync(file);
TextBlock outputText = new TextBlock();
outputText.Text = text;

Summary

Windows-Machine-Learning is tailored for developers working on ML integration in Windows apps, offering specialized tools and examples. Windows-universal-samples covers a broader range of Windows features and APIs, making it more suitable for general Windows app development. The code examples reflect their different focuses, with Windows-Machine-Learning demonstrating ML model loading and evaluation, while Windows-universal-samples shows more general Windows functionality like file I/O.