🖥️ Linux Health Monitor

A modern Linux system monitoring application built with Python and PyQt6 that provides real-time insights into system performance, resource utilization, and hardware health.

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📖 Overview

Linux Health Monitor is a desktop application designed to help users monitor critical system metrics in real time through an intuitive graphical interface.

The application provides detailed information about:

• CPU Usage
• Memory (RAM) Usage
• Disk Utilization
• Network Activity
• Running Processes
• System Temperature
• Alerts and Notifications

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✨ Features

📊 Dashboard

• Real-time system statistics
• Visual resource monitoring
• Easy-to-read interface

🧠 CPU Monitoring

• CPU usage percentage
• Core utilization tracking
• Performance overview

💾 Memory Monitoring

• RAM usage details
• Available and used memory
• Memory consumption tracking

💽 Disk Monitoring

• Disk space utilization
• Storage statistics
• Mounted drive information

🌐 Network Monitoring

• Upload and download speeds
• Network interface details
• Traffic statistics

🌡️ Temperature Monitoring

• CPU temperature tracking
• Hardware health insights

⚠️ Alert System

• Resource usage warnings
• Performance alerts
• System health notifications

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🖼️ Screenshots

Dashboard

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Process Monitor

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Network Monitor

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🛠️ Technologies Used

• Python 3.10+
• PyQt6
• psutil
• Linux System Utilities

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📂 Project Structure

Linux-Health-Monitor/
│
├── frontend/
│   ├── dashboard.py
│   ├── process_tab.py
│   ├── network_view.py
│   ├── temperature_tab.py
│   └── alert_tab.py
│
├── backend/
│   ├── cpu_monitor.py
│   ├── memory_monitor.py
│   ├── disk_monitor.py
│   └── network_monitor.py
│
├── assets/
├── main.py
├── requirements.txt
└── README.md

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🚀 Installation

Clone Repository

git clone https://github.com/Deep8595/Linux-Health-Monitor.git
cd Linux-Health-Monitor

Create Virtual Environment

python3 -m venv venv
source venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Run Application

python main.py

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📋 Requirements

• Linux Operating System
• Python 3.10+
• PyQt6
• psutil

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🎯 Future Improvements

• GPU Monitoring
• Export Reports
• Historical Data Visualization
• System Logging
• Cross-Platform Support
• Dark/Light Themes

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🤝 Contributing

Contributions are welcome.

1. Fork the repository
2. Create a feature branch
3. Commit changes
4. Push to your branch
5. Create a Pull Request

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📜 License

This project is licensed under the MIT License.

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👨‍💻 Author

Deepanshu Singh

B.Tech Student | Python Developer | Open Source Enthusiast