Nithin1729S/Deep-Dive-A-System-Resource-Monitor

A System resource monitoring tool leveraging Python libraries like Psutil, os, PyCPUInfo, Disto and Qt GUI interface for comprehensive real-time tracking and analysis of system resources

Deep Dive: A System Resource Monitor

A System resource monitoring tool leveraging Python libraries like Psutil, os, PyCPUInfo, Disto and Qt GUI interface for comprehensive real-time tracking and analysis of system resources

More details can be found in the report.

Demo of the Project

demo.mp4

Screenshots

Features

• CPU: Percentage, Clock Speeds, Occupancy, Duration, Counts of Context Switches, System calls and hardware interrupts

• Memory: Utilization, Swapping rate, Occupancy, Physical and logical partition

• Internet: Packet Count, Size, Rate, Transfer rate, Transmission, Dropped transfers

• Processes: PIDs, names, terminal, usernames, states, CPU/Memory Usage, context switches, threads, Kill, resume, Terminate, Suspend Options

• System/Hardware: OS, Kernel names, Versions, CPU name, Vendor, Frequency, Features

• Visually represent real-time data changes for clear understanding

Getting Started

To get started with this project, follow these steps:

1. Clone the repository:

   git clone <repository_url>
   cd <repository_name>

2. Create a virtual environment:

   virtualenv env

3. Activate the virtual environment:

   source env/bin/activate

4. Install the required dependencies:

   pip install -r requirements.txt

5. Run the main script:

   python main.py