Research
Recent Trends in Malicious Packages Targeting Discord
The Socket research team breaks down a sampling of malicious packages that download and execute files, among other suspicious behaviors, targeting the popular Discord platform.
lodash.memoize
Advanced tools
Package description
The lodash.memoize package is a function from the Lodash library that creates a memoized version of a function that caches the result of function calls based on the arguments passed. This can improve performance by avoiding repeated calculations for the same inputs.
Caching function results
This feature allows you to cache the result of an expensive function call. When the memoized function is called again with the same arguments, the cached result is returned instead of recalculating.
const _ = require('lodash.memoize');
const expensiveFunction = n => {
console.log('Expensive calculation for', n);
return n * n;
};
const memoizedExpensiveFunction = _.memoize(expensiveFunction);
console.log(memoizedExpensiveFunction(5));
console.log(memoizedExpensiveFunction(5));
Custom cache resolver
This feature allows you to provide a custom resolver function that determines the cache key for storing results. This is useful when you need to memoize functions that take complex arguments like objects or arrays.
const _ = require('lodash.memoize');
const memoizedFunctionWithResolver = _.memoize(expensiveFunction, (...args) => JSON.stringify(args));
console.log(memoizedFunctionWithResolver({ a: 1 }));
console.log(memoizedFunctionWithResolver({ a: 1 }));
Memoizee is a complete memoize/cache solution for JavaScript. It offers more advanced features like max age, max size, and pre-fetching which lodash.memoize does not have. It also allows for memoizing asynchronous functions.
Fast-memoize is a high-performance memoization library that claims to be the fastest possible memoization library in JavaScript. It uses a simpler API and has fewer features than lodash.memoize, focusing on raw performance.
Memoizerific is another memoization library that is limited to a certain number of arguments but is very fast and has a small footprint. It is less feature-rich compared to lodash.memoize but is designed for speed and efficiency for functions with a limited number of arguments.
Readme
The modern build of lodash’s _.memoize
exported as a Node.js/io.js module.
Using npm:
$ {sudo -H} npm i -g npm
$ npm i --save lodash.memoize
In Node.js/io.js:
var memoize = require('lodash.memoize');
See the documentation or package source for more details.
FAQs
The lodash method `_.memoize` exported as a module.
We found that lodash.memoize demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
The Socket research team breaks down a sampling of malicious packages that download and execute files, among other suspicious behaviors, targeting the popular Discord platform.
Security News
Socket CEO Feross Aboukhadijeh joins a16z partners to discuss how modern, sophisticated supply chain attacks require AI-driven defenses and explore the challenges and solutions in leveraging AI for threat detection early in the development life cycle.
Security News
NIST's new AI Risk Management Framework aims to enhance the security and reliability of generative AI systems and address the unique challenges of malicious AI exploits.