Decorator Python Packages

makefun

Dynamically create python functions with a proper signature.

func-timeout

Python module which allows you to specify timeouts when calling any existing function, and support for stoppable threads

memoization

A powerful caching library for Python, with TTL support and multiple algorithm options.

decopatch

python decorators made easy.

pytest-cases

Separate test code from test cases in pytest.

wrapt-timeout-decorator

Python Powerful Timeout Decorator that can be used safely on classes, methods, class methods

singleton-decorator

A testable singleton decorator

cachier

Persistent, stale-free, local and cross-machine caching for Python functions.

reretry

An easy-to-use but functional retry decorator in python

strongtyping

Decorator which checks whether the function is called with the correct type of parameters.

aspectlib

An aspect-oriented programming, monkey-patch and decorators library. It is useful when changing behavior in existing code is desired. It includes tools for debugging and testing: simple mock/record and a complete capture/replay framework.

pytest-steps

A tiny package to ease the creation of test steps with shared intermediate results/state.

custom-inherit

A Python package that provides tools for inheriting docstrings in customizable ways.

pyplugs

Decorator based plugin architecture for Python

django-query-counter

Simple tool to count Django db queries in the management commands and views (as decorator or middleware)

module-wrapper

Module wrapper Python library

logwrap

logwrap is a helper for logging in human-readable format function arguments and call result on function call

cachew

Transparent and persistent cache/serialization powered by type hints

redis-func-cache

A Python library that provides decorators for caching function results in Redis, supporting multiple serialization formats and caching strategies, as well as asynchronous operations.

valid8

Yet another validation lib ;). Provides tools for general-purpose variable validation, function inputs/outputs validation as well as class fields validation. All entry points raise consistent ValidationError including all contextual details, with dynamic inheritance of ValueError/TypeError as appropriate.

limit

python decorator that limits the calling rate of a function

cm-time

A simple context manager and decorator that measures time using perf_counter()

daffy

Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.

typed-classproperties

Typed Python decorators for classproperty and cached_classproperty