Bandwidth Application

Track your machine's network throughput with a real time graph displaying bytes sent and received.

Program Features and Specifics

This project utilizes python modules such as:

• psutil - a handy system utility module to retrieve system bandwidth information
• seaborn (built and customized with matplotlib) for graphing
• tkinter provides a clean, interactive graphical user interface
• Python csv library allows for long term data storage
• pandas converts csv files into convenient dataframes for graphing lines

This program covers exception handling and formatting for elements requiring user input.
Within the graphing window, I have incorporated a responsive button to terminate the program.

As my largest python script yet, I worked to make the function definitions as modular and readable as possible to make for easy debugging.

There are two parts to this project:

• 'Bandwidth Application.py', the main data tracker and live graphing portion
• 'Graph_Opener.py' that opens a previously recorded dataset

HOW TO USE

• Upon downloading the zipped file linked in the repository, extract and view the contents of the folder.
• If you wish to make changes to the code, you will want to make sure that all of the following dependencies are installed in your execution environment.
  • psutil
  • pandas
  • seaborn
  • matplotlib
  • tkinter
    All of these modules are installable at the command line using pip install.

By default, data points are periodically collected every 10 minutes. To customize this, change the data_frequency variable in the
'PROGRAM LOGIC' section. This variable takes in a number of seconds elapsed between each point.

• To start a new session, choose the 'Bandwidth Application' file and run it at the command line in the python environment

• To open an existing dataset, choose the 'Graph_Opener' file and run it at the command line in the python environment