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Algorithm Visualizer

This project is an interactive web-based visualization tool for various algorithms including search algorithms like DFS (Depth-First Search) and BFS (Breadth-First Search), as well as sorting algorithms like Merge Sort, Binary Insertion Sort, Quick Sort, Cocktail Shaker Sort, and LSD Radix Sort.

Pictures

DFS maze Alt text Alt text

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.

Features

  • Algorithm Visualization: Watch real-time visualization of algorithms, making it easier to understand their functionality and efficiency.
  • Interactive Learning: Step through each stage of the algorithm with interactive controls.
  • Multiple Algorithms: Supports a variety of algorithms for both searching and sorting, making it a comprehensive tool for students and enthusiasts.

Getting Started

To get started with this project, clone the repository and install the dependencies.

# Clone the repository
git clone https://github.com/jonny258/Maze.git

# Install dependencies
npm install

# Start the development server
ng serve
Navigate to http://localhost:4200/ to view the application.

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

Don't forget to give the project a star! Thanks again!

License

Distributed under the MIT License. See LICENSE for more information.

Deployment

Deployed site: Site