Decorators

Quickly create flexible Python decorators

Extensible memoizing collections and decorators

Module for decorators, wrappers and monkey patching.

Decorators for Humans

Function decoration for backoff and retry

A decorator to automatically detect mismatch when overriding a method.

Easy to use retry decorator.

Retrying

A decorator for caching properties in classes.

Small library to dynamically create python functions.

API rate limit decorator

Python decorator for async properties.

Non-blocking Python methods using decorators

Timeout decorator

Easy to use retry decorator.

A library for deferring decorator actions

Handy decorators for converting parameters

The better timout decorator

Backport functools.singledispatch to older Pythons.

A powerful caching library for Python, with TTL support and multiple algorithm options. (https://github.com/lonelyenvoy/python-memoization)

Create Python CLI apps with little to no effort at all!

uwsgidecorators standalone package

Typing stubs for decorator

A testable singleton decorator

Create decorators easily in python.

A flexible, customizable timer for your Python code.

Lazy attributes for Python objects

Separate test code from test cases in pytest.

singledispatch decorator for class methods.

Pytest decorator for parametrizing tests with default iterables.

Retry Decorator

Python functions and decorators for various backoff/retry strategies

A collection of useful decorators for making AWS Lambda handlers

Simple decorator to set attributes of target function or class in a DRY way.

The module, which allows easily validate function's input/output values.

syntactic sugar for langchain

easy to use command-line interface for python modules

Turn functions into command-line interfaces

A Telegram bot library, with simple route decorators.

Python @deprecat decorator to deprecate old python classes, functions or methods.

A decorator for caching properties in classes (forked from cached-property).

Decorate your AWS Boto3 Calls with AWSRetry.backoff(). This will allows your calls to get around the AWS Eventual Consistency Errors.

Decorators for running functions in Thread/ThreadPool/IOLoop

This package is intended to provide a uniform schema for common machine learning applications, as well as a set of decorators that can be used to aid in web based ML prediction applications.

Timeout control decorator and context managers, raise any exception in another thread

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

Django utility for a memoization decorator that uses the Django cache framework.

Create decorators for your endpoints using FastAPI dependencies.

An easy to use, but functional decorator for retrying on exceptions.

Pidfile featuring stale detection and file-locking, can also be used as context-manager or decorator