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A powerful caching library for Python, with TTL support and multiple algorithm options.
Decorator to memoize the results of async functions via lru-cache.
Polyfill for RFC 566: @cached
Symfony bundle for class/method memoization
Simple decorator for caching the result of a function based on the most recent arguments
A memoize library which can be used standalone, or plugged into key/value stores such as redis. Also contains functionality to invalidate cache based on function name and arguments.
An enhanced memoization library for Python
Easy to use caching for functions and methods.
Memoize function and TypeScript decorator for sync and async functions.
Stores the results of expensive function calls and returns the cached result when the same inputs occur again
fcache caches the result of function calls to memory or disk. Saves you the pain of recomputing slow functions over and over again. fcache works well with numpy arrays, pandas dataframes and inside ipython notebooks.
Memoize methods of a given JavaScript object
A Specman/e package that provides a memoization utility for methods
Memoization decorator for Python, with optional TTL (measured in time or function calls) for the cached results.
A Python Decorator similar to but simpler than functools.lru_cache with the extra ability to select parameters
A function to decorate methods and memoize their results to speed up further requests done with the same arguments.
Simple method memoization decorator based on cachetools, suitable for numpy.ndarray input.
Decorators for es6+, with promise support
A straightforward LRU Cache implementation using OrderedDict