Note
Algorithm Vault is not fully ready yet. We’ll add the more algorithms table here and in the web soon — You can review some of them for now.
Algorithm Vault is a structured collection of fundamental data structures and algorithms with clear explanations and multi-language implementations. It is designed to help students and developers build a strong foundation in algorithms and problem-solving.
🔗Website Link: here
| Algorithm | Explanation | C++ | Java | Python | All Files | Website |
|---|---|---|---|---|---|---|
| Binary Search | Readme | C++ | Java | Python | folder | Web |
| Bubble Sort | Readme | C++ | Java | Python | folder | Web |
| Quick Sort | Readme | C++ | Java | Python | folder | Web |
| Coming soon....... |
This project organizes essential algorithms in a consistent format, making it easier to learn, compare, and revise key concepts in computer science and competitive programming.
Each algorithm includes:
- A concise explanation of the core idea
- Step-by-step breakdown of how it works
- Time and space complexity analysis
- Implementations in multiple programming languages
- Organized collection of core DSA algorithms
- Consistent structure across all entries
- Multi-language code support (e.g., Python, C++, Java)
- Search and filtering by name, tags, and language
- Lightweight and easy to extend
- Beginner-friendly explanations
- Searching Algorithms
- Sorting Algorithms
- Graph Algorithms
- Dynamic Programming
- String Algorithms
- Basic algorithmic techniques and patterns
Each algorithm follows a standardized structure:
- Name
- Short description
- Step-by-step logic
- Complexity analysis
- Code implementations
Example entries include:
- Binary Search
- Bubble Sort
- Merge Sort
- Quick Sort
- Dijkstra’s Algorithm
- HTML, CSS, JavaScript
- JSON-based data structure for algorithms
- Client-side search and filtering logic
- Modular file-based code organization
Algorithm Vault is built to simplify algorithm learning by providing a single, structured, and searchable reference. It is intended for:
- Students learning data structures and algorithms
- Competitive programming preparation
- Technical interview revision
- Quick algorithm reference
- Interactive algorithm visualizer
- Improved UI/UX with modern design system
- Performance optimizations for large datasets
- Dark/light theme support
- Expanded algorithm library
This project is designed to remain simple and extensible. Contributions or improvements should follow the existing structure for consistency.
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