resitor 0.0.2

a package to graphically monitor per-process resource usage

resitor

• HomePage: https://github.com/kzhu2099/Resource-Monitor
• Issues: https://github.com/kzhu2099/Resource-Monitor/issues

Author: Kevin Zhu

Features

• graphical per-process monitoring of CPU and memory
• last-frame saving
• customization
• multiple PIDs
• CLI or Python

Installation

To install resitor, use pip: pip install resitor.

However, many prefer to use a virtual environment.

macOS / Linux:

# make your desired directory
mkdir /path/to/your/directory
cd /path/to/your/directory

# setup the .venv (or whatever you want to name it)
pip install virtualenv
python3 -m venv .venv

# install resitor
source .venv/bin/activate
pip install resitor

deactivate # when you are completely done

Windows CMD:

# make your desired directory
mkdir C:path\to\your\directory
cd C:path\to\your\directory

# setup the .venv (or whatever you want to name it)
pip install virtualenv
python3 -m venv .venv

# install resitor
.venv\Scripts\activate
pip install resitor

deactivate # when you are completely done

Usage

First, start a process (a python script). In the Tests/ folder, there is an existing long_program.py (be careful, it takes resources so you must manually end it when you are done).

It will print the PID of that process, through os.getpid(). Then, use python3 -m resitor <pid> to monitor the resource usage.

Or, you may use the start_monitor(<pid>, ...) function and input your desired parameters.

You may enter a list of PIDs through python3 -m resitor <pid1> <pid2> .... A list of PIDs can be inputed to start_monitor() as well.

If you don't want to watch CPU or memory, simply add the -noc or nom flags.

For Windows / Linux users, you may also watch the disk usage through the -dsk flag.

Currently, psutil (what this is built on) does not have per-process network monitoring. Furthermore, macOS users do not have access to per-process disk monitoring.

License

The License is an MIT License found in the LICENSE file.