Lightweight Python logging tool for visual call tracing, tree-structured colored logs, and easy debugging with a simple decorator. Optimized for both standard and AI-generated codebases.

Typed Python decorators for classproperty and cached_classproperty

Click inspired command-line interface creation toolkit for aiogram

A lightweight, zero-setup decorator for logging ML experiments to a JSONL file. This tool is for the solo data scientist, student, or hobbyist in a Jupyter Notebook who just wants to keep track of their experiments without setting up a database or heavy framework.

A small timing decorator implemented in Cython for measuring function execution time with minimal overhead, just for fun.

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

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

Python utility package that wraps argparse to easily create a command line interface from a function.

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

Transparent and persistent cache/serialization powered by type hints

A Python decorator to add OTEL auto-instrumentation to your functions

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

file organizer program, which organizes files in a directory by their types into subfolder

A Python decorator (time_lock) challenge for rate-limiting function execution. Implements caching and checks the time interval between calls.

High-performance, async Kafka library for Python. Use simple decorators (@consumer, @Producer) to define your message handlers without dealing with AIOKafka boilerplate code. Built on asyncio for maximum throughput.

Flexible attribute manipulation for Python objects. Retrieve and assign multiple attributes in any order with simple syntax.

`pydoit` for humans: an API to create `doit` tasks faster and more reliably.

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

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

Lightweight Python logging tool for visual call tracing, tree-structured colored logs, and easy debugging with a simple decorator. Optimized for both standard and AI-generated codebases.