Master Data Structures and Algorithms
Interactive platform to learn, practice, and visualize algorithms across multiple programming languages. Perfect for interviews and competitive programming.
function quickSort(arr) {
if (arr.length <= 1) return arr;
const pivot = arr[0];
const left = [];
const right = [];
for (let i = 1; i < arr.length; i++) {
if (arr[i] < pivot) left.push(arr[i]);
else right.push(arr[i]);
}
return [...quickSort(left), pivot, ...quickSort(right)];
}
Popular Algorithms
Quick Sort
An efficient sorting algorithm using a divide-and-conquer approach with an average time complexity of O(n log n).
Dijkstra's Algorithm
Finds the shortest paths from a source node in a weighted graph using a priority queue.
Merge Sort
A stable sorting algorithm that divides and merges arrays with a time complexity of O(n log n).
Breadth-First Search (BFS)
Traverses graphs level by level, useful for finding the shortest path in unweighted graphs.
Knapsack Problem
Maximizes the total value of items in a knapsack with weight limits using dynamic programming.
Binary Search
Efficiently finds an item in a sorted list by repeatedly halving the search interval.
Key Features
Multi-Language Support
Run and test data structures and algorithms in multiple programming languages, including Python, Java, C++, JavaScript, and more.
Interactive Code Playground
Write, run, and modify algorithms directly in the browser with our code editor, and see real-time outputs for multiple languages.
Algorithm Visualizations
Visualize how algorithms work step-by-step with dynamic graphical representations, making complex concepts easier to understand.
Comprehensive API
Access algorithms programmatically via our API, allowing you to fetch algorithm implementations and run them with custom inputs.
Coming Soon
- Algorithm visualizer
- Live code editor
- More languages
- Time and space complexity analysis
- Save algorithms