System Performance Monitor

A lightweight, real-time system monitoring application built with Python, featuring core system metrics visualization and data persistence.

Project Structure

system_monitor/
├── README.md
├── requirements.txt
├── main.py
├── core/
│   ├── __init__.py
│   └── monitor.py
├── storage/
│   ├── __init__.py
│   └── repository.py
├── ui/
│   ├── __init__.py
│   └── dashboard.py
└── utils/
    ├── __init__.py
    └── helpers.py

Features

Core Monitoring

• Real-time CPU usage monitoring
• Memory utilization tracking
• Disk usage visualization with pie chart
• Network throughput measurement (upload/download)

Technical Features

• Asynchronous Operations: Built with asyncio for efficient real-time monitoring
• Multi-threaded Data Collection: Parallel metric collection using ThreadPoolExecutor
• Data Persistence: SQLite database with async operations via aiosqlite
• Modern UI: Clean and responsive interface with matplotlib-based visualizations
• Error Handling: Comprehensive logging system

Technical Requirements

• Python 3.9+
• Dependencies (see requirements.txt)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/system-monitor.git
cd system-monitor

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Quick Start

1. Run the application:

python main.py

2. The GUI dashboard will display:
   • CPU usage over time
   • Memory utilization graph
   • Network throughput metrics
   • Disk usage pie chart

Data Visualization

The dashboard provides real-time visualizations of:

• CPU usage with historical trending
• Memory utilization patterns
• Network upload/download speeds
• Disk space distribution in pie chart format

All graphs automatically update every second to provide current system metrics.