---
id: multitasking
version: "0.0.13"
license: Apache
license_treatment: permissive
maintenance: active
---

# multitasking — Non-blocking Python methods using decorators

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install multitasking
uv add multitasking
poetry add multitasking

## Description

MultiTasking: Non-blocking Python methods using decorators
==========================================================

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**MultiTasking** is a lightweight Python library that lets you convert
your Python methods into asynchronous, non-blocking methods simply by
using a decorator. Perfect for I/O-bound tasks, API calls, web scraping,
and any scenario where you want to run multiple operations concurrently
without the complexity of manual thread or process management.

✨ **What’s New in v0.0.12**
----------------------------

-  🎯 **Full Type Hint Support**: Complete type annotations for better
   IDE support and code safety
-  📚 **Enhanced Documentation**: Comprehensive docstrings and inline
   comments for better maintainability
-  🔧 **Improved Error Handling**: More robust exception handling with
   specific error types
-  🚀 **Better Performance**: Optimized task creation and management
   logic
-  🛡️ **Code Quality**: PEP8 compliant, linter-friendly codebase

Quick Start
-----------

.. code:: python

   import multitasking
   import time...

## AI interpretation — verify before relying

Converts Python methods into non-blocking, concurrent tasks using decorators, enabling simple parallel execution of I/O-bound operations without manual thread management.

Verdict: A lightweight, actively maintained library for adding concurrency to Python methods via decorators. Zero dependencies, permissive Apache license, and no known vulnerabilities make it a low-friction choice for I/O-bound parallelization. Best suited for developers seeking simplicity over the complexity of asyncio or manual threading.

[View on SkillFed](https://skillfed.io/packages/multitasking) · [View on PyPI](https://pypi.org/project/multitasking/)