sorting-visualizer

This Flask web app demonstrates the execution of sorting algorithms (Merge, Insertion, Selection etc.) Users can test algorithms on arrays provided directly, via files, or generated randomly, and compare performance on varying sizes. It features execution time visualizations (bar/line plots), result downloads, and aids in algorithm analysis.

Sorting Algorithm Performance Visualizer

This Flask web application allows users to test and compare the performance of various sorting algorithms on arrays of different sizes and types. It includes features for result visualization and downloading.

Features

• Input Options:

  • Directly enter an array.
  • Upload a file containing an array.
  • Generate a random array of a specified size.

• Execution Modes:

  • Test a single array with selected sorting algorithms.
  • Compare multiple algorithms on arrays of varying sizes.

• Visualization:

  • Bar chart to compare execution times for a single array.
  • Line graph to show algorithm performance trends for varying input sizes.

• Download Results: Retrieve execution results as a .txt file.

Algorithms Supported

• Merge Sort
• Insertion Sort
• Selection Sort
• Bubble Sort
• Quick Sort

Installation

Prerequisites

• Python 3.7 or higher
• pip (Python package manager)

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/sorting-visualizer.git
   cd sorting-visualizer
   
   
   

Running the Application

1. Create a Virtual Environment

Set up a Python virtual environment to isolate dependencies:

    python -m venv venv

Activate the environment:

• On Linux/Mac:

  source venv/bin/activate

• On Windows (CMD):

  venv\Scripts\activate

• On Windows (PowerShell):

  .\venv\Scripts\Activate

2. Install Dependencies

Install the required Python packages using requirements.txt:

pip install -r requirements.txt

3. Run the Application

Start the Flask application:

python app.py

4. Access the Application

Open your web browser and go to:

http://127.0.0.1:5000

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Tags

Flask Sorting Algorithms Data Visualization Algorithm Comparison Python Bar Graph Line Graph Random Arrays

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License

This project is licensed under the MIT License.