miniasyncio 0.0.4

A small async package

miniasyncio

A minimal async event loop for Python. Built from scratch to understand how asyncio actually works

Quick Start

import miniasyncio as io

@io.__async__
def greet(name: str):
    print(f"Hello, {name}!")
    yield from io.sleep(0.1).__await__()
    print(f"Done with {name}")

@io.__async__
def main():
    yield from io.gather(
        greet("Alice"),
        greet("Bob"),
        greet("Charlie"),
    ).__await__()

io.run(main())

The equivalent code with asyncio would look like this

import asyncio as io

async def greet(name: str):
    print(f"Hello, {name}!")
    await io.sleep(0.1)
    print(f"Done with {name}")

async def main():
    await io.gather(
        greet("Alice"),
        greet("Bob"),
        greet("Charlie"),
    )

io.run(main())

Output:

Hello, Alice!
Hello, Bob!
Hello, Charlie!
Done with Alice
Done with Bob
Done with Charlie

How It Works

A coroutine is just a generator with extra steps. And await is just a disguised yield!

When you create an async function. Calling your function returns an coroutine object and the function body is not yet executed. The __await__ dunder method on Awaitable objects such as coroutines returns a generator object. A generator allows for a routine to be paused and to yield control to the event loop. This allows the event loop to run another task while another is waiting.

The event loop runs tasks round-robin. When a task awaits, it yields control back to the loop, which runs the next task. This is cooperative multitasking because tasks must await to yield control.

API

Function	Description
run(coro)	Register a task and run the event loop to completion
create_task(coro)	Schedule a coroutine without awaiting
gather(*coros)	Await multiple coroutines concurrently, return results as list
sleep(seconds)	Non-blocking delay
@__async__	Decorator to make a generator function awaitable
run_loop()	Run the event loop manually

Features

• Event loop — cooperative multitasking with a task queue
• Coroutines — generator-based async functions via @__async__ decorator
• Tasks — scheduled coroutines with future-like results
• gather — run multiple coroutines concurrently
• sleep — non-blocking delay
• Zero dependencies — pure Python and standard libraries

Why?

To learn. This reimplements the main concepts of asyncio in a few readable lines so you can see exactly how the event loop works to make async/await feel like magic.

Install

Using pip:

pip install miniasyncio

Using UV:

uv add miniasyncio