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High-performance Python ASGI web framework

Project description

Velocix

Velocix Logo

A learning project where I rebuilt Starlette's core patterns to understand how modern async Python web frameworks work.


What This Is

  • A study project built during my B.Tech CSE studies
  • Heavily inspired by Starlette's architecture and patterns
  • An exercise in understanding ASGI and async Python
  • A way to learn performance optimization concepts
  • A minimal framework experiment

What This Is NOT

  • A production-ready framework
  • Faster than existing solutions (FastAPI/Starlette)
  • Something you should use instead of established frameworks
  • A unique or groundbreaking implementation

What I Learned

  • How ASGI works under the hood
  • Async Python patterns and best practices
  • Why performance optimization requires actual measurement, not assumptions
  • How routing, middleware, and request handling work internally
  • That framework overhead is usually negligible compared to database queries and business logic
  • The importance of honest benchmarking and documentation

📦 Installation

Prerequisites

  • Python 3.10 or higher
  • pip

Install Dependencies

pip install -r requirements.txt

Core Dependencies

  • orjson - Fast JSON serialization
  • msgspec - Fast validation and serialization
  • httptools - HTTP request parsing
  • Any ASGI server (uvicorn, granian, hypercorn)

🚀 Quick Start

from velocix import Velocix
from velocix.core.response import JSONResponse

app = Velocix()

@app.get("/")
async def hello():
    return {"message": "Hello World"}

@app.get("/users/{user_id}")
async def get_user(user_id: int):
    return {"user_id": user_id}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

🏗️ Code Structure

velocix/
├── core/           # Core ASGI application and routing (based on Starlette patterns)
├── http/           # HTTP utilities
├── middleware/     # Middleware implementations
├── security/       # Authentication and security utilities
├── validation/     # Request validation (msgspec)
├── websocket/      # WebSocket support
├── monitoring/     # Health checks and metrics
└── testing/        # Test client utilities

📚 Documentation


🤝 Contributing

This is a learning project, but if you find it useful or want to suggest improvements, feel free to open an issue or PR.


🙏 Acknowledgments

This project is heavily inspired by:

  • Starlette - Most patterns and architecture are based on Starlette's design
  • FastAPI - For the elegant decorator-based API
  • msgspec - For fast validation
  • orjson - For efficient JSON serialization

Special thanks to the authors of these frameworks for their excellent documentation and open-source code that made this learning project possible.


📖 Learning Resources

If you want to build something similar, I recommend:

  • Reading Starlette's source code (it's very well written)
  • Understanding the ASGI specification
  • Studying async Python patterns
  • Actually measuring performance instead of assuming optimizations work

📄 License

MIT License - See LICENSE file for details


Built as a learning exercise by a CSE student

A minimal framework experiment - use Starlette or FastAPI for real projects.

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