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

wrapt-timeout-decorator

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

decopatch

python decorators made easy.

memoization

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

pytest-cases

Separate test code from test cases in pytest.

singleton-decorator

A testable singleton decorator

reretry

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

cachier

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

strongtyping

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

pyresilience

Unified resilience patterns for Python — retry, circuit breaker, timeout, fallback, bulkhead, rate limiter, and cache in one decorator. Python's Resilience4j.

pytest-steps

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

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.

custom-inherit

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

django-query-counter

Count Django SQL queries and surface duplicate (N+1) and slow ones in the console — works as a decorator (management commands, tasks, views) or as middleware

pyplugs

Decorator based plugin architecture for Python

logwrap

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

module-wrapper

Module wrapper Python library

limit

python decorator that limits the calling rate of a function

unter

📟🔃 A Python module of decorators to allow base classes to selectively hijack and invert inheritance and overriding, enforcing the primacy of a base implementation even in the face of derived overriding classes

typed-classproperties

Typed Python decorators for classproperty and cached_classproperty

cachew

Transparent and persistent cache/serialization powered by type hints

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.