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71 packages found
The Route Exploration Algorithm is a graph traversal library implemented in TypeScript with BFS in mind
Syntax analysis. Lot of different methods.
Access subtree elements using keypath, with wildcard ('*') support.
Simplify JS objects, replacing circular references by the path leading to the parent reference. Useful before a JSON.stringify() or a recursive navigation over the object.
Call a function on each file in a filesystem tree
JavaScript Data Structure
Just Tree algorithms.
Breadth-first search traversal of an acorn-generated AST.
Documentation app: [raikuxq-algorithms.netlify.app/guide](https://raikuxq-algorithms.netlify.app/guide)
- algorithms
- data structures
- graph
- undirected graph
- directed graph
- breadth-first
- depth-first
- BFS
- DFS
- shortest path
- binary search tree
- randomized binary search tree
- BST
- dijkstra
- View more
A library of data structures and algorithms
- js-datastructures
- es6 data structures
- javascript data structures
- data structures
- data structures javascript
- data structures js
- stack
- es6 stack
- queue
- es6 queue
- priority queue
- priorityqueue
- trees
- binary trees
- View more
A jQuery extension supporting asynchronous breadth-first-search action. Outputs are used as inputs for further BFS action until a specified condition is met (usually max depth or number of results).
Standard collections in TypeScript / JavaScript
Javascript Implementation of Binary Search Tree
- Javascript
- DataStructure
- js-trees
- tree
- js-tree
- bst
- binary search
- binary-search-tree
- BST
- dfs
- bfs
- dfs pre order
- dfs post order
- dfs in order
Allows you to do a breadth-first-search through DOM elements.
A generic DAG visitor for use in JavaScript
Library to simplify JSON, replacing circular and repeated structures by the path leading to the first time this structure happens (in breadth-first search).
A package for implementing pathfinding algorithms for web apps that need some kind of path finding, maze solving. Supports both weighted and unweighted algos.
Use classic algorithms for Graphs.