PingScope - Modern Network Diagnostic Tool 🚀

PingScope is a modern, feature-rich, and visually enhanced version of the classic ping tool. It allows you to perform advanced network diagnostics via both a professional CLI and a sleek web dashboard.

✨ Features

• Modern CLI: Colorized output, panels, and live tables using the rich library.
• Advanced Metrics: Real-time calculation of RTT (Min/Max/Avg), Jitter, and Packet Loss.
• Multi-Host & Subnet Sweep: Support for concurrent pinging of multiple targets and full subnet scanning (e.g., /24).
• Traceroute: Integrated cross-platform route tracing functionality.
• History Tracking: Automatically saves all test results to a local SQLite database.
• Visualization: Generates latency graphs using matplotlib and saves them as PNG.
• Export Capabilities: Save your results in JSON, CSV, or TXT formats.
• Web Dashboard: A modern, real-time web interface powered by Flask and Socket.IO.
• Configuration Support: Customizable default settings via config.yaml.
• Dockerized: Ready to be deployed as a container.

🛠 Installation

Prerequisites

• Python 3.6 or higher
• Pip (Python package manager)

Installation Steps

1. Clone the repository:

git clone https://github.com/ismailtsdln/PingScope.git
cd PyPing

1. Install dependencies:

pip install -r requirements.txt

1. Install the application in editable mode:

pip install -e .

🚀 Usage

Command Line Interface (CLI)

Basic Ping:

pyping google.com

Multi-Host Scanning:

pyping -m google.com github.com 8.8.8.8

Subnet Sweep:

pyping -S 192.168.1.0/24 --threads 20

Traceroute:

pyping google.com -T

View history:

pyping -H

Generate Latency Graph:

pyping google.com -g -o latency_report.png

Web Dashboard

To start the real-time web dashboard:

python3 web/app.py

Then visit http://localhost:5000 in your web browser.

📁 Project Structure

• source/: Core logic and helper modules.
• web/: Flask-based web interface (Template/Static files).
• tests/: Unit and integration tests.
• config.yaml: Application configuration settings.
• Dockerfile & docker-compose.yml: Containerization setup.

📄 License

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

🤝 Contributing

1. Fork the project.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

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Developed by İsmail Taşdelen - LinkedIn