yashmaniya0 / real-time-resource-monitor

Given real-time resource monitor is a great tool to examine our system's proper functioning. It enables you to keep track of what is happening in our system's background so that we can stop the activity that might cause problems.

Real-Time Resources Monitor for Linux

psutil

psutil (python system and process utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python. It is useful mainly for system monitoring, profiling, limiting process resources and the management of running processes. We have implemented real time resource monitor graph using this library.

To install psutil on your PC:

pip install psutil

ncurses

ncurses is a library that facilitates text-based graphical output in the terminal. This project relies on ncurses for display output of CPU utilization as well as main memory utilization data.

To install ncurses on your Linux environment:

sudo apt install libncurses5-dev libncursesw5-dev

cmake

This project uses Make. The Makefile has four targets:

• build compiles the source code and generates an executable
• format applies ClangFormat to style the source code
• debug compiles the source code and generates an executable, including debugging symbols
• clean deletes the build/ directory, including all of the build artifacts

sudo apt-get -y install cmake
sudo apt-get -y install cmake-qt-gui

How to use

Navigate to home directory path in terminal and write following commands:

For displaying CPU utilization as well as main memory utilization stats :

rmdir ./build
make build
./build/monitor

For displaying real-time resource monitor (will only work for Windows):

python3 ./src/resource_usage_graph.py

You can also run ./script.sh directly in your Linux Terminal

If the above steps do not work, make sure you have added execution perms for the ./build/monitor and ./script.sh

The code was tested on the following specifications

• PC : ACER ASPIRE 7
• CPU : Intel Core™ i5-9300H
• GPU : Nvidia GeForce GTX 1650 / 60 Hz
• RAM : 8 GB
• OS : Ubuntu 16.02.4 LTS
• Kernal : 4.15.0-72-generic