xyra 0.2.5

High Performance Frameworks, Easy to learn and Ready for Production

Xyra Framework

A high-performance, asynchronous web framework for Python, built on top of socketify.py. Xyra is designed to be fast, easy to use, and feature-rich, making it an excellent choice for building modern web applications, APIs, and real-time applications.

✨ Key Features

• 🚀 High Performance: Built on socketify.py for exceptional speed and low latency
• ⚡ Asynchronous: Full async/await support for non-blocking operations
• 🎯 Simple API: Intuitive design inspired by Flask and Express.js
• 🔧 Middleware Support: Easily add logging, authentication, CORS, and more
• 📚 Auto API Docs: Built-in Swagger/OpenAPI documentation generation
• 🔌 WebSocket Support: Real-time communication out of the box
• 📄 Templating: Jinja2 integration for HTML rendering
• 📁 Static Files: Efficient static file serving
• 🛡️ Type Safety: Full type hints support

📦 Installation

Install Xyra using pip:

pip install xyra

Or install from source for the latest features:

git clone https://github.com/xyra-python/xyra.git
cd xyra
pip install -e .

🚀 Quick Start

Create your first Xyra application:

# app.py
from xyra import App, Request, Response

app = App()

@app.get("/")
def hello(req: Request, res: Response):
    res.json({"message": "Hello, Xyra!"})

if __name__ == "__main__":
    app.listen(8000)

Or

# app.py
from xyra import App

app = App()

@app.get("/")
def hello(req, res):
    res.json({"message": "Hello, Xyra!"})

if __name__ == "__main__":
    app.listen(8000)

Run the application:

python app.py

Visit http://localhost:8000 to see your app in action!

📖 Documentation

• 📚 Full Documentation
• 🚀 Getting Started Guide
• 🛣️ Routing Guide
• 📝 API Reference
• 💡 Examples

🎯 Example Applications

REST API

from xyra import App, Request, Response

app = App()

# In-memory storage
users = []

@app.get("/api/users")
def get_users(req: Request, res: Response):
    res.json(users)

@app.post("/api/users")
async def create_user(req: Request, res: Response):
    user_data = await req.json()
    user_data["id"] = len(users) + 1
    users.append(user_data)
    res.status(201).json(user_data)

if __name__ == "__main__":
    app.listen(8000)

WebSocket Chat

from xyra import App

app = App()
clients = set()

def on_open(ws):
    clients.add(ws)
    ws.send("Welcome to chat!")

def on_message(ws, message, opcode):
    for client in clients:
        if client != ws:
            client.send(f"User: {message}")

def on_close(ws, code, message):
    clients.discard(ws)

app.websocket("/chat", {
    "open": on_open,
    "message": on_message,
    "close": on_close
})

if __name__ == "__main__":
    app.listen(8000)

HTML with Templates

from xyra import App, Request, Response

app = App(templates_directory="templates")

@app.get("/")
def home(req: Request, res: Response):
    res.render("home.html", title="My App", users=["Alice", "Bob"])

if __name__ == "__main__":
    app.listen(8000)

🏃 Running Examples

Try the included examples:

# Simple app
python example/simple_app.py

# Full-featured app with templates and WebSocket
python example/app.py

Visit http://localhost:8000 and explore the API docs at http://localhost:8000/docs.

🤝 Contributing

We welcome contributions! Here's how you can help:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

Development Setup

git clone https://github.com/xyra-python/xyra.git
cd xyra
pip install -e .[dev]
pytest

Code Style

We use:

• Black for code formatting
• isort for import sorting
• flake8 for linting
• mypy for type checking

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built on top of socketify.py
• Inspired by Flask, Express.js, and FastAPI
• Thanks to all our contributors!

📞 Support

• 📖 Documentation
• 🐛 Issues
• 💬 Discussions

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Made with ❤️ for the Python community

📊 Benchmark

We run weekly benchmarks against other popular Python web frameworks. See the full Benchmark Report for details.