Decorators Python Python Packages

decohints

A decorator for decorators that allows you to see the parameters of a decorated function when using it in PyCharm.

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

python-injection

Dead-simple dependency injection framework for Python.

python-cq

CQRS library for async Python projects.

timeit-decorator

A versatile timing decorator

danielutils

A comprehensive Python utilities library providing type-safe collections, async programming tools, database abstractions, retry executors, data structures, and developer productivity enhancements to streamline Python development workflows

validatedata

Lightning-fast validation in python.

nemoize

Python Memoizer for classes, functions, and methods

clsprop

🏫 Like property but for classes 🏫

protocol-implements-decorator

Adds the 'implements' decorator to make using protocols easier and more explicit

tempit

Python decorator for precise measurement of function execution time.

zombie-py

Reraising Exceptions Back From the Dead As New Exceptions.

more-abc

extension of the `abc` module in python

retry-deco

Decorator for retrying when exceptions occur

stabledefaults

Allows for mutable defaults comfortably and intuitively.

bepospliz

BePosPliz (be positional please) is a lightweight module to anonymize the args of a function.

clustrix

Seamless distributed computing for Python functions

mdpyformat

Tutorials on advanced python topics, and literate programming framework to write them (see README.md)

timer-decorator

Provides a decorator to easily measure and optionally save the execution times.

pd-window-decorators

Python function decorator to apply moving window operations for Pandas DataFrames

repeatdecorator

A decorator to call a function every n seconds

syntaxility-pypi-response-manager

A Unified response manager and decorators for FAST APIs, REST APIs, Machine Learning, Deep Learning, and AI inference outputs.