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 🙏

© 2024 – Pkg Stats / Ryan Hefner

@santi100/sorting-lib

v0.0.5

Published

Santi's Sorting Library: Many sorting algorithms in one package!

Downloads

58

Readme

Santi's Sorting Library

Build Status npm homepage GitHub stars License Bundlephobia stats

  • 🚀 Lightweight and fast
  • 👴 ES3-compliant
  • 📘 Comes with built-in TypeScript definitions
  • 📑 Split into files (under cjs/) to import what's needed
  • 💻 Portable between the browser and Node.js

What's this?

This is a library of sorting algorithms written in TypeScript. Currently, the library includes the following algorithms:

  • Bubble sort
  • Insertion sort
  • Selection sort
  • Merge sort
  • Quick sort
  • Bogo sort
  • Radix sort
  • Heap sort
  • Counting sort
  • Shell sort

Thanks to @codediodeio for the idea, taken from his video about sorting algorithms and its corresponding repo.

Installation

  • Via NPM: npm install @santi100/sorting-lib
  • Via Yarn: yarn add @santi100/sorting-lib
  • Via PNPM: pnpm install @santi100/sorting-lib

API

  • type SortComparator<T = unknown> = (a: T, b: T) => number; Comparator function for every sorting algorithm, except for radixSort. It's fully compatible with Array.prototype.sort's callback.

  • type SortOrder = 'ascending' | 'descending'; Sorting order string. Must be either ascending or descending.

  • interface SortOptions<T = unknown>; Shape of the opts object passed to every sorting algorithm, except for radixSort. See RadixSortOptions for the options specific to it.

    • comparator?: SortComparator<T>; Comparator function for every sorting algorithm, except for radixSort. It's fully compatible with Array.prototype.sort's callback. See SortComparator.
    • order?: SortOrder; Sorting order string. Must be either ascending or descending. See SortOrder.
  • interface RadixSortOptions; Shape of the opts object exclusive to radixSort.

    • order?: SortOrder; Sorting order string. Must be either ascending or descending. See SortOrder.
  • type CountingSortOptions = RadixSortOptions; (since 0.0.3) Shape of the opts object exclusive to countingSort.

  • function bubbleSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with bubble-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity: Quadratic ($O(n ^ 2)$).

  • function insertionSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with insertion-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (average and worst-case): Quadratic ($O(n ^ 2)$).

Time complexity (best-case): Linear ($O(n)$).

  • function selectionSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with selection-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (average and worst-case): Quadratic ($O(n ^ 2)$).

  • function mergeSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with merge-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (average and worst-case): Quasi-linear ($O(n \log{n})$).

  • function quickSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with quick-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (best and average): Quasi-linear ($O(n \log{n})$).

Time complexity (worst): Quadratic ($ O(n ^ 2) $).

  • function bogoSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with bogo-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (average): Linear-factorial ($O((n!)(n))$).

Worst-case time complexity: Infinity ($O(∞)$).

  • function radixSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with radix-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (best, average and worst): $O(n k)$, where $k$ is the number of digits or characters in the largest element.

  • function heapSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[]; Sorts arr with heap-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (best, average and worst): Quasi-linear ($O(n \log {n})$).

  • function shellSort<T = unknown>(arr: T[], opts?: SortOptions<T>): T[];: Sorts arr with shell-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity: Depends on the gap sequence used. Best known is $O(n (log2(n) ^ 2))$.

  • function countingSort(arr: number[], opts?: CountingSortOptions): T[];: Sorts arr with counting-sort and returns a new sorted array (i.e.: doesn't mutate arr). It takes the array to sort, and optional sorting options, and returns a sorted copy of arr.

Time complexity (best, average and worse): $O(n + k)$, where $k$ is the range of input (maximum element - minimum element + 1).

  • function bozoSort<T = unknown>(array: T[]): T[]; Sorts an array using the Bozo Sort algorithm.

    | Name | Description | | ------- | ----------------------- | | array | The array to be sorted. |

  • function bozoSort<T = unknown>(array: T[], opts: SortingOptions<T>): T[]; Sorts an array using the Bozo Sort algorithm.

    | Name | Description | | ------- | ------------------------------------- | | array | The array to be sorted. | | opts | An object containing sorting options. |

Usage

import { mergeSort, bozoSort } from '@santi100/sorting-lib'; // ESM
const { mergeSort, bozoSort } = require('@santi100/sorting-lib'); // CJS
const sorted = mergeSort([4, 2, 5, 1, 3]); // sorted = [1, 2, 3, 4, 5]
const descendingSorted = mergeSort([4, 2, 5, 1, 3], { order: 'descending' }); // descendingSorted = [5, 4, 3, 2, 1]
const objSorted = mergeSort(
	[
		{
			age: 23
		},
		{
			age: 12
		},
		{
			age: 30
		}
	],
	{ comparator: (a, b) => a.age - b.age }
); // returns [ { age: 12 }, { age: 23 }, { age: 30 }]
// You can do same for all algorithms, except for `radixSort`, which is limited to ints for now, so
// its only option is `order`.
const sortedArray = bozoSort(array);
console.log(sortedArray); // Output: [1, 2, 3]

Contribute

Wanna contribute? File an issue or pull request! Look at the contribution instructions and make sure you follow the contribution Code of Conduct.

*Hasn't been tested in an actual ES3 environment. Feel free to open an issue or pull request if you find any non-ES3 thing. See "Contribute" for instructions on how to do so.

^The source code is just a few kilobytes in size.