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TypeScript Data Structure Library

NPM

TypeScript data structure and algorithm implementations without external dependencies.

Why to use this library?

  • Fully Tested
  • Fast
  • 0 Dependencies
  • Lightweight
  • Comes with Comparator (for custom types)
  • equals() method provided for all data structures
  • Well documented

Install

npm install typescript-ds-lib

Usage

import { Stack } from 'typescript-ds-lib';

const stack: Stack<number> = new Stack<number>();

stack.push(1);
stack.push(2);
stack.push(3);

console.log(stack.top());   // 3
stack.pop();
console.log(stack.top());   // 2
console.log(stack.size());  // 2

Documentation and Examples

See the documentation for more details and examples.

Data Structures

  • Binary Search Tree
  • Deque
  • Graph (beta version and partially tested)
  • Hash Table (unordered map)
  • Heap
  • Linked List
  • Map
  • Matrix
  • Priority Queue
  • Queue
  • Red-Black Tree
  • Set
  • Stack

Algorithms

  • Binary Search (with custom comparator)
  • Shuffle (shuffles the array in-place)

Map-Set vs Native JavaScript Map-Set

The library's Map and Set data structures are implemented as Red-Black Tree and Binary Search Tree respectively. Native JavaScript Map and Set are implemented as Hash Table and Hash Set respectively.

When to use the library's Map and Set?

  • If CPU consumption is important for you as RBT and BST do not do any kind of CPU intensive hashing.
  • If your goal is to have a balanced tree with O(log n) complexity for all the operations in Map.
  • If memory efficiency is important for you as RBT and BST are more memory efficient than Hash Table and HashSet.

You can consider the library's Map and Set as ordered map and set, and native JavaScript Map and Set as unordered map and set.

Contributions

Contributions are welcome and can be made by submitting GitHub pull requests to this repository.

License

This source code is available to everyone under the standard MIT LICENSE.

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TypeScript data structure and algorithm collections without external dependencies

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