Comprehensive Algorithm Library
A curated collection of 92 essential algorithms with production-ready implementations, complexity analysis, and real-world applications. Built for students, professionals, and interview preparation.
Algorithm Categories
Sorting Algorithms
Visualize how different sorting algorithms work
- Bubble Sort
- Quick Sort
- Merge Sort
- Heap Sort
- Insertion Sort
- Selection Sort
- Radix Sort
- Counting Sort
Search Algorithms
See how search algorithms find elements
- Binary Search
- Linear Search
- Jump Search
- Interpolation Search
- Exponential Search
Graph Algorithms
Navigate networks, find paths, and optimize connections
- BFS & DFS Traversal
- Dijkstra's Shortest Path
- A* Pathfinding
- Bellman-Ford
- Floyd-Warshall
- Kruskal's & Prim's MST
- Topological Sort
Data Structures
Fundamental structures for organizing data
- Binary Search Trees
- Linked Lists
- Stacks & Queues
- Hash Tables
- Heaps & Priority Queues
Dynamic Programming
Solve complex problems efficiently
- Fibonacci Sequence
- 0/1 Knapsack Problem
- Longest Common Subsequence
- Edit Distance
- Coin Change
- Longest Increasing Subsequence
Machine Learning
Explore ML algorithms and their implementations
- Linear Regression
- K-Means Clustering
- K-Nearest Neighbors
- Decision Trees
- Naive Bayes
Backtracking Algorithms
Solve complex puzzles with systematic search
- N-Queens Problem
- Sudoku Solver
- Hamiltonian Cycle
- Knight's Tour
- Combination Sum
- Word Search
Greedy Algorithms
Optimal local choices lead to global solutions
- Activity Selection
- Huffman Coding
- Fractional Knapsack
- Job Sequencing
- Minimum Coin Change
String Algorithms
Pattern matching and text processing
- KMP Pattern Matching
- Rabin-Karp
- Longest Palindromic Substring
- Manacher's Algorithm
- Longest Common Prefix
Bit Manipulation
Low-level operations for optimization
- Count Set Bits
- Single Number (XOR)
- Power of Two Check
- Reverse Bits
- Missing Number
Divide & Conquer
Break down problems into smaller subproblems
- Closest Pair of Points
- Maximum Subarray
- Karatsuba Multiplication
Tree Algorithms
Advanced tree structures for efficient operations
- AVL Tree
- Trie (Prefix Tree)
- Segment Tree
- Fenwick Tree (BIT)
- Red-Black Tree
- B-Tree
Mathematical Algorithms
Number theory, primes, and computation
- Sieve of Eratosthenes
- Euclidean GCD
- Fast Exponentiation
- Matrix Multiplication
- FFT
- Miller-Rabin Primality
- Newton-Raphson
- Catalan Numbers
Data Compression
Algorithms for reducing data size
- Run-Length Encoding
- LZ77 (ZIP/GZIP)
- Burrows-Wheeler Transform
Ciphers & Cryptography
Encrypt and decrypt with classic algorithms
- Caesar Cipher
- Vigenère Cipher
- RSA Encryption
- AES Encryption
- SHA-256 Hashing
Interactive Algorithm Visualizer
About This Project
What is AlgoArray?
AlgoArray is an interactive algorithm visualization platform built on top of TheAlgorithms/Python repository. It helps developers and students understand how algorithms work through visual demonstrations.
Technology Stack
Frontend: HTML5, CSS3, JavaScript
Backend: Python, FastAPI (optional)
Algorithms: TheAlgorithms/Python (211k⭐)
Learning Resource
Perfect for technical interview preparation, computer science students, and anyone looking to strengthen their understanding of fundamental algorithms and data structures.
Features
Visual Learning
Watch algorithms execute step-by-step
Performance Metrics
Compare time and space complexity
Code Examples
View Python implementations
Responsive Design
Works on all devices