In computing, memoization is an optimization technique used primarily to speed up computer programs by storing the results of expensive function calls and returning the cached result when the same inputs occur again. — Wikipedia

This library is an attempt to make the fastest possible memoization library in JavaScript that supports N arguments.

There are already very popular solutions for this problem, but they are not fast enough or accept only one argument.

To use the library, install it through npm

npm install fast-memoize

To port it to Browser or any other (non CJS) environment, use your favorite CJS bundler. No favorite yet? Try: Browserify, Webmake or Webpack

const memoize = require('fast-memoize')

const fn = function (one, two, three) { /* ... */ }

const memoized = memoize(fn)

memoized('foo', 3, 'bar')
memoized('foo', 3, 'bar') // Cache hit

There is already plenty of libraries that does memoization on JS world. underscore and lodash provides it, but they don't accept more than one argument. memoizee is a very well written library that supports N arguments, but is not even close on performance to lodash.

Below you can see a performance benchmark between some of the most popular libraries for memoization.

fast-memoize is faster than any other library but lodash. The reason why is that lodash does not support N arguments and is very optimized to that unique use case. But even though, fast-memoize is the library that supports N that comes closer to it.

To run the benchmark, clone the repo, install the dependencies and run npm run benchmark.

git clone [email protected]:caiogondim/fast-memoize.git
cd fast-memoize
npm install
npm run benchmark

Latest	8+	Latest	Latest	Latest	Latest	Latest

| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Latest | 6+ | 4.0+ | 8+ | Latest | Latest | Latest |

0.10+ ✔

• https://talideon.com/weblog/2005/07/javascript-memoization.cfm
• https://github.com/petkaantonov/bluebird/wiki/Optimization-killers#3-managing-arguments

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