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Releases: danielviki/SortingAlgorithmVisualizer

v1.0.0

18 Feb 07:11
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Sorting Algorithm Visualizer v1.0.0 Release Notes

Overview

Sorting Algorithm Visualizer is an interactive web application that helps users understand various sorting algorithms through visual representation of the sorting process.

Features

Core Functionality

  • Interactive visualization of 7 popular sorting algorithms:
    • Bubble Sort
    • Quick Sort
    • Merge Sort
    • Insertion Sort
    • Selection Sort
    • Heap Sort
    • Shell Sort

User Interface

  • Clean, modern Vue.js-based interface
  • Real-time step-by-step visualization
  • Dynamic input support for custom number sequences
  • Algorithm selection dropdown with descriptions
  • Responsive design for various screen sizes

Technical Highlights

  • Frontend:

    • Vue.js 3 with Composition API
    • Modular component architecture
    • Centralized state management
    • RESTful API integration
  • Backend:

    • Flask-based REST API
    • Modular algorithm implementation
    • Step-by-step tracking system
    • Error handling and input validation

Installation

# Clone the repository
git clone https://github.com/yourusername/sorting-algorithm-visualizer.git

# Frontend setup
cd sorting-algorithm-visualizer/frontend
npm install
npm run dev

# Backend setup
cd ../backend
python -m venv venv
source venv/bin/activate  # For Mac/Linux
pip install -r requirements.txt
python app.py

System Requirements

  • Node.js 14.0 or higher
  • Python 3.8 or higher
  • Modern web browser (Chrome, Firefox, Safari)
  • 2GB RAM minimum
  • 100MB free disk space

Known Issues

  • Large datasets (>1000 elements) may cause performance issues
  • Mobile view needs optimization for smaller screens

Coming Soon

  • Additional sorting algorithms
  • Animation speed control
  • Dark mode support
  • Algorithm complexity information
  • Performance metrics display
  • Export functionality for sorting steps

Contributors

  • Development Team
  • Open Source Contributors

License

MIT License - See LICENSE file for details

Support

For issues and feature requests, please use the GitHub issue tracker.


Release Date: February 18, 2025