Simple method memoization decorator based on cachetools, suitable for numpy.ndarray input.
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Updated
Oct 9, 2015 - Python
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.
A straightforward LRU Cache implementation using OrderedDict
An enhanced memoization library for Python
Decorators for es6+, with promise support
Decorator to memoize the results of async functions via lru-cache.
A Python Decorator similar to but simpler than functools.lru_cache with the extra ability to select parameters
📓 A memoize util for TypeScript.
A powerful caching library for Python, with TTL support and multiple algorithm options.
Easy to use caching for functions and methods.
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.
Memoization decorator for Python, with optional TTL (measured in time or function calls) for the cached results.
A Specman/e package that provides a memoization utility for methods
Stores the results of expensive function calls and returns the cached result when the same inputs occur again
Python Memoizer for classes, functions, and methods
Memoize function and TypeScript decorator for sync and async functions.
A function to decorate methods and memoize their results to speed up further requests done with the same arguments.
Memoize methods of a given JavaScript object
An adjustable cache for python functions.
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