Python Cachier: Persistent Memory for Functions
Boost Python performance with Cachier: Easy function caching for faster code execution.
“Top Python Libraries” Publication 400 Subscriptions 20% Discount Offer Link.
Easily Add Caching to Functions and Boost Code Performance.
In Python programming, we often encounter functions with high computational costs or slow execution speeds that repeatedly perform the same calculations when processing identical inputs, resulting in resource waste.
This is where function result caching can truly shine. Cachier is a simple yet powerful caching library in Python that makes it easy to add caching functionality to functions.
Cachier is a persistent caching library for Python functions that can cache results across machines and local storage, ensuring quick returns of previously computed results when functions are called, thereby saving time and computational resources.
Through simple decorator syntax, Cachier makes adding cache to any function effortless. Compared to functools.lru_cache In Python’s standard library, Cachier provides richer functionality, such as cache expiration time settings and MongoDB-based distributed caching.



