npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2025 – Pkg Stats / Ryan Hefner

@thi.ng/memoize

v4.0.34

Published

Function memoization with configurable caching and support for async functions

Downloads

26,217

Readme

@thi.ng/memoize

npm version npm downloads Mastodon Follow

[!NOTE] This is one of 211 standalone projects, maintained as part of the @thi.ng/umbrella monorepo and anti-framework.

🚀 Please help me to work full-time on these projects by sponsoring me on GitHub. Thank you! ❤️

About

Function memoization with configurable caching and support for async functions.

This package provides different function memoization implementations for functions with arbitrary arguments and custom result caching using ES6 Map API like implementations. Unlike native ES6 Maps, the implementations MUST support value, not just referential, equality semantics (e.g. those provided by @thi.ng/associative) or @thi.ng/cache). The latter also support automatically pruning of memoization caches, based on different strategies. See doc strings for further details.

Available memoization functions

Status

STABLE - used in production

Search or submit any issues for this package

Related packages

  • @thi.ng/cache - In-memory cache implementations with ES6 Map-like API and different eviction strategies

Installation

yarn add @thi.ng/memoize

ESM import:

import * as mem from "@thi.ng/memoize";

Browser ESM import:

<script type="module" src="https://esm.run/@thi.ng/memoize"></script>

JSDelivr documentation

For Node.js REPL:

const mem = await import("@thi.ng/memoize");

Package sizes (brotli'd, pre-treeshake): ESM: 507 bytes

Dependencies

Note: @thi.ng/api is in most cases a type-only import (not used at runtime)

Usage examples

Three projects in this repo's /examples directory are using this package:

| Screenshot | Description | Live demo | Source | |:---------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------|:----------------------------------------------------------|:---------------------------------------------------------------------------------------| | | Isolated, component-local DOM updates | Demo | Source | | | Basic rstream-gestures multi-touch demo | Demo | Source | | | rstream based spreadsheet w/ S-expression formula DSL | Demo | Source |

API

Generated API docs

import * as m from "@thi.ng/memoize";

// (optional, for custom caching)
import { EquivMap } from "@thi.ng/associative";
import { LRUCache } from "@thi.ng/cache";

Optimized version for single arg functions

import { memoize1 } from "@thi.ng/memoize";

foo = memoize1((x: number) => {
    console.log("exec");
    return x * 10;
});

foo(1);
// exec
// 10
foo(1);
// 10

import { EquivMap } from "@thi.ng/associative";

// with custom cache
foo = memoize1(
    (x: number[]) => (console.log("exec"), x[0] * 10),
    // custom ES6 Map impl which compares by value, not by reference
    new EquivMap()
);

foo([1]);
// exec
// 10

// would be a cache miss w/ native ES6 Map
// due to lack of value equality semantics
foo([1]);
// 10

import { LRUCache } from "@thi.ng/cache";

// use LRU cache to limit cache size
foo = memoize1(
    (x: number[]) => (console.log("exec"), x[0] * 10),
    new LRUCache(null, { maxlen: 3 })
);

Arbitrary args

import { memoize } from "@thi.ng/memoize";
import { EquivMap } from "@thi.ng/associative";

const dotProduct = memoize(
    (x: number[], y: number[]) => {
        console.log("exec");
        return x[0] * y[0] + x[1] * y[1];
    },
    new EquivMap()
);

dotProduct([1,2], [3,4]);
// exec
// 11
dotProduct([1,2], [3,4]);
// 11

Via JSON.stringify()

import { memoizeJ } from "@thi.ng/memoize";

const dotProduct = memoizeJ(
    (x: number[], y: number[]) => {
        console.log("exec");
        return x[0] * y[0] + x[1] * y[1];
    }
);

dotProduct([1, 2], [3, 4]);
// exec
// 11

dotProduct([1, 2], [3, 4]);
// 11

Authors

If this project contributes to an academic publication, please cite it as:

@misc{thing-memoize,
  title = "@thi.ng/memoize",
  author = "Karsten Schmidt",
  note = "https://thi.ng/memoize",
  year = 2018
}

License

© 2018 - 2025 Karsten Schmidt // Apache License 2.0