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

javascript-graphs

v1.0.3

Published

An easy to use graph data structure with some useful algorithms

Downloads

5

Readme

javascript-graphs

An easy to use graph data structure with some useful algorithms.

Install

Using npm:

npm i javascript-graphs

The Graph data structure

Import with ES6 modules:

import Graph from "javascript-graphs";

The constructor syntax:

new Graph(directed?: boolean);

Using the graph:

import Graph from "javascript-graphs";

// create a new graph, it is directed graph by default
const G = new Graph();
// create an undirected graph
const G2 = new Graph(false);

// add edges
G.addEdge("A", "B");
G.addEdge("B", "A");
G.addEdge("B", "C");

// addEdge will add new vertex automatically,
// but you can add them individually
G.addVertex("D");

// delete edges
G.deleteEdge("B", "C");

for (const v of G.getVertexs()) {
  console.log(v); //  A  B  C  D
}

for (const [u, v] of G.getEdges()) {
  console.log(`(${u}, ${v})`); //  (A, B)  (B, A)
}

G.addEdge("B", "D");
G.addEdge("B", "E");

for (const v of G.neighbors("B")) {
  console.log(v); //  A  D  E
}

Algorithms

Some algorithms examples:

import Graph from "javascript-graphs";
import {
  findStronglyConnectedComponents,
  topologicalSort,
  findEulerianCircuit,
  DFS,
} from "javascript-graphs";

const G = new Graph();

G.addEdge("A", "B");
G.addEdge("B", "A");
G.addEdge("B", "C");
G.addEdge("C", "A");
G.addEdge("C", "D");
G.addEdge("D", "E");
G.addEdge("E", "D");

const components = findStronglyConnectedComponents(G);

for (const component of components) {
  console.log(component.getEdges()); // [(B, A), (A, C)], [(D, E)]
}

const G2 = new Graph();

G2.addEdge("foo", "bar");
G2.addEdge("foo", "qux");
G2.addEdge("baz", "qux");
G2.addEdge("qux", "quux");

for (const v of topologicalSort(G2)) {
  console.log(v); // foo, baz, bar, qux, quux
}

const G3 = new Graph();

G3.addEdge("a", "b");
G3.addEdge("b", "c");
G3.addEdge("c", "b");
G3.addEdge("b", "a");

for (const v of findEulerianCircuit(G3)) {
  console.log(v); // a->b->c->b->a
}

Using DFS search and it's return values:

const G = new Graph();

G.addEdge("A", "B");
G.addEdge("B", "A");
G.addEdge("B", "C");
G.addEdge("C", "A");
G.addEdge("C", "D");
G.addEdge("D", "E");
G.addEdge("E", "D");

const { trees, timestamps, discoveryList, endingList } = DFS(G);

// DFS trees
for (const tree of trees) {
  console.log(tree.getEdges()); // (A, B) (B, C) (C, D) (D, E)
}

console.log(timestamps); // A: [1, 10], B: [2, 9], C: [3, 8], D: [4, 7], E: [5, 6]

// iterable list
for (const v of discoveryList) {
  console.log(v); // A B C D E
}

// iterable list
for (const v of endingList) {
  console.log(v); // E D C B A
}

The full list of algorithms

  • DFS
  • hasEulerianCircuit
  • findCiruit
  • findEulerianCircuit
  • isConnected
  • findComponents
  • hasCircuit
  • topologicalSort
  • topologicalSortDFS
  • transpose
  • printEdges
  • isStronglyConnected
  • findStronglyConnectedComponents

License

MIT