A powerful caching library for Python, with TTL support and multiple algorithm options.
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Updated
Aug 1, 2021 - Python
A powerful caching library for Python, with TTL support and multiple algorithm options.
Polyfill for RFC 566: @cached
Symfony bundle for class/method memoization
Memoize methods of a given JavaScript object
Python Memoizer for classes, functions, and methods
Decorator to memoize the results of async functions via lru-cache.
Decorators for es6+, with promise support
Memoization decorator for Python, with optional TTL (measured in time or function calls) for the cached results.
Memoize instance methods with ease.
A straightforward LRU Cache implementation using OrderedDict
An enhanced memoization library for Python
Simple decorator for caching the result of a function based on the most recent arguments
Simple method memoization decorator based on cachetools, suitable for numpy.ndarray input.
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.
An adjustable cache for python functions.
Stores the results of expensive function calls and returns the cached result when the same inputs occur again
A Specman/e package that provides a memoization utility for methods
A Python Decorator similar to but simpler than functools.lru_cache with the extra ability to select parameters
Easy to use caching for functions and methods.
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