dapil 0.1.1

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Dapil 🏎️💨

Dapil is an ultra-high-performance Python web framework powered by Rust and the Axum networking stack. It is designed to bridge the gap between Python's developer productivity and Rust's world-class performance.

By using a specialized "Single Actor" GIL Model, Dapil achieves throughput that redefines what is possible for Python web services.

🚀 Performance at a Glance

Dapil isn't just "fast"—it's record-breaking. In basic benchmarks, it outperforms common frameworks by massive margins:

Framework	Requests/Sec	Lead vs FastAPI
Dapil (Extreme)	29,661	8.3x faster
Django-Bolt (Rust)	19,511	5.5x faster
Django (Gunicorn)	5,623	1.6x faster
FastAPI (Uvicorn)	3,563	1.0x (Baseline)

✨ Key Features

• Blazing Speed: Powered by Rust and Axum, reaching nearly 30,000 requests per second on a single worker.
• Zero-Contention GIL Model: Uses a dedicated single-actor thread for Python execution to eliminate lock contention.
• Automatic Observability: Seamlessly bridges Rust tracing logs to Python's standard logging module.
• Modern DX: Simple, decorator-based API inspired by FastAPI.

📦 Quickstart

Installation

Currently, Dapil is in early development. You can build it from source:

pip install maturin
maturin develop --release

Basic App

import dapil

app = dapil.App()

@app.get("/")
def hello():
    return "Hello from Dapil!"

if __name__ == "__main__":
    app.serve()

🧠 The "Single Actor" Secret

Most Python/Rust bridges suffer from GIL (Global Interpreter Lock) contention when scaling across threads. Dapil solves this by:

1. Handling all network I/O in Rust's multi-threaded Tokio runtime.
2. Funneling Python execution into a single dedicated worker thread.
3. Passing tasks via high-performance lock-free channels.

This architecture ensures the Python interpreter spends zero time fighting for locks, allowing it to execute at 100% efficiency.

📖 Documentation

The documentation is built with MkDocs using the Material theme for a premium, FastAPI-style experience.

• Live Documentation Structure
• Architecture Deep-Dive
• Benchmarking Results

Running the Documentation Locally

To preview the documentation site locally:

pip install mkdocs-material
mkdocs serve

Then visit http://127.0.0.1:8000 in your browser.

License

MIT