Design Pattern that described by Python, This is the source code for the book of Everybody Know Design Patterns.

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

Separate test code from test cases in pytest.

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

Dynamically create python functions with a proper signature.

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

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

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

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.

A testable singleton decorator

A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.

Versatile async-friendly retry package with multiple backoff strategies

Automatically notifies you of start and completion using environment variables

ONUG Cloud Security Notification Framework (CSNF)

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

A simple Python library to bind dataclasses with databases.

Transparent and persistent cache/serialization powered by type hints

python decorators made easy.

Python function decorator to cache the result in a Redis server.

python decorator that limits the calling rate of a function