RedRoute: Visualize Your Network 🚦

Welcome to the RedRoute repository! This project serves as a powerful tool for visualizing and computing the shortest path between two hosts in a complex network topology. Built with Python and utilizing libraries such as NetworkX, Tkinter, and Matplotlib, RedRoute enhances your understanding of network routing by displaying paths, nodes, and their interconnections.

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• How It Works
• Contributing
• License
• Contact
• Releases

Features

• Visual Pathfinding: See the shortest path between any two hosts in real-time.
• Interactive GUI: User-friendly interface built with Tkinter.
• Dynamic Visualization: Graphical representation of nodes and connections.
• Routing Algorithms: Implements various routing strategies for better pathfinding.
• Simulation Capabilities: Simulate different network scenarios to test routing strategies.

Technologies Used

• Python: The main programming language for the application.
• NetworkX: A library for creating and manipulating complex networks.
• Tkinter: The standard GUI toolkit for Python.
• Matplotlib: Used for plotting graphs and visualizing data.

Installation

To get started with RedRoute, follow these steps:

1. Clone the Repository:

   git clone https://github.com/ynsemrcskn/redroute.git
   cd redroute

2. Install Dependencies: Ensure you have Python installed, then install the required libraries:

   pip install networkx matplotlib

3. Run the Application: Execute the main script:

   python main.py

Usage

Once you have the application running, you can start visualizing network paths. Here’s how to use RedRoute:

1. Input Hosts: Enter the names or identifiers of the two hosts you want to analyze.
2. Select Routing Algorithm: Choose from the available routing strategies.
3. Visualize: Click the "Find Path" button to see the shortest path displayed on the graphical interface.

How It Works

RedRoute operates by creating a graph representation of the network topology. Each host is a node, and each connection is an edge. The application uses NetworkX to compute the shortest path based on the selected algorithm.

1. Graph Creation: The network topology is defined as a graph where nodes represent hosts and edges represent connections.
2. Pathfinding: When a user inputs two hosts, the selected routing algorithm calculates the shortest path.
3. Visualization: The results are displayed using Matplotlib, allowing users to see the path on the graph.

Contributing

We welcome contributions to improve RedRoute. If you would like to contribute, please follow these steps:

1. Fork the Repository: Create your own copy of the repository.
2. Create a Branch: Use a descriptive name for your branch.

   git checkout -b feature/YourFeature

3. Make Your Changes: Implement your feature or fix.
4. Commit Your Changes: Write a clear commit message.

   git commit -m "Add your message here"

5. Push to Your Branch: Send your changes to your fork.

   git push origin feature/YourFeature

6. Create a Pull Request: Submit your changes for review.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or feedback, please reach out to the maintainer:

• Name: Your Name
• Email: your.email@example.com

Releases

You can find the latest version of RedRoute here. Download the latest release and execute it to start using the application. If you encounter any issues, check the "Releases" section for updates.

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Thank you for checking out RedRoute! We hope this tool enhances your understanding of network routing and visualization. Happy networking!