multitasking

Non-blocking Python methods using decorators

multitasking Permissive license Apache Active ★ 235 v0.0.13 released 2026-04-23

Install

multitasking on PyPI

pip

pip install multitasking

uv

uv add multitasking

poetry

poetry add multitasking

Package facts

License	Apache (permissive)
Python support	not specified
Install friction	low — pure-Python wheel
Runtime dependencies	none
Maintenance	actively maintained — 112 days since the last release
Last repo commit	2026-04-23
First released	2016-12-21
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: multitasking-0.0.13-py3-none-any.whl

Keywords: multitasking, multitask, threading, async

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules

About multitasking

from the package's own PyPI description — quoted content, verbatim

MultiTasking: Non-blocking Python methods using decorators

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...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

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

Installation is straightforward with zero runtime dependencies and a pure-Python wheel distribution. The package is actively maintained with a recent release (112 days old) and an active repository showing continued development.

Licensed under Apache (permissive), allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.

Usage

import multitasking
import time

@multitasking.task
def fetch_data(url_id):
    time.sleep(1)
    return f"Data from {url_id}"

for i in range(5):
    fetch_data(i)

multitasking.wait_for_tasks()

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.

Needs verification

Whether the package's thread/process pool implementation scales predictably under high concurrency loads
Performance characteristics compared to asyncio or concurrent.futures for typical I/O workloads
Compatibility guarantees across the stated Python version range (2.7 through 3.13)

python async decoratorconcurrent tasks without asyncionon-blocking methodssimple multithreading libraryparallel execution decoratorthreading without boilerplateconcurrent I/O operations