SharpFetch 1.0.1-alpha.0.3

🚀 SharpFetch

The simplicity of the JS Fetch API meets the power of .NET.

SharpFetch is a lightweight, high-performance wrapper around HttpClient that brings the intuitive syntax of JavaScript's Fetch API to C#. It eliminates boilerplate while adding C# essentials like strict type safety, dependency injection support, and modern async patterns.

⚡ The Comparison

Stop fighting with HttpClient boilerplate. SharpFetch makes network requests feel natural.

JavaScript (Native)

const data = await fetch("https://api.example.com/user")
               .then(res => res.json());

C# with SharpFetch

var data = await Fetch("https://api.example.com/user")
               .Then(res => res.Json());

✨ Key Features

• 1:1 Syntax: If you know Fetch, you already know SharpFetch.

• Type Safety: Seamlessly parse JSON into C# Classes/Records.

• Global Opt-in: Use SharpFetch.Global to call Fetch() anywhere without extra namespaces.

• Modern .NET: Fully compatible with .NET 8, 9, and 10.

• Zero Bloat: Minimal dependencies to keep your project lean.

🚀 Quick Start

1. Installation

dotnet add package SharpFetch

Optionally also add SharpFetch.Global for an automatic global static using.

2. Basic Usage (Fluent)

// Simple string-based fetch
var user = await Fetch("https://api.example.com/profile")
               .Then(res => res.Json<UserProfile>());

3. Professional Usage (Instantiated)

For enterprise apps, use the instantiated version for better control over the lifecycle:

var api = new SharpFetch();

var response = await api.Fetch("https://api.example.com/data", new Options {
    Method = Method.Post,
    Body = new { name = "John Doe" }
});

var result = await response.Json<ExampleClass>();

🛠 Project Status

SharpFetch is currently in active development.

• Core Fetch implementation

• JSON Deserialization

🤝 Contributing

Contributions are welcome! Whether it's a bug report or a feature request, feel free to open an issue.

Built with ❤️ for the .NET community.

🤖 AI Disclaimer

SharpFetch was supported in development by AI. Key involvements include:

• Code Reviews
• Architectural Improvement Recommendations
• Assisting in simple programming tasks
• Test-writing
• Documentation

Any contributions by AI are humanly reviewed. We urge all contributors to properly review their AI-generated code before submitting it.