Neofetch Randomizer

This script aims to randomize the output of neoftch in a simple but effective manner
· Report Bug · Request Feature

Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
   • SupportedParams
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. Contact
7. Acknowledgments

About The Project

I made this script in order to help me (and you) having a more enjoiable terminal.

Getting Started

Prerequisites

• Neofetch
• Python

Supported params

• classic this will tell the the script to randomize only canonical size logos
• minimal this will tell the script to randomize only small size logos

Installation

1. Clone the repo

   git clone git@github.com:Omixxx/neofetchRandomizer.git ./neofetchRandomizer && sudo mv neofetchRandomizer /opt/

2. Give all the necessary permissions

    sudo chmod 777 /opt/neofetchRandomizer/sportmode.py

(back to top)

Usage

Palace the above command in the configuration file of your favourite shell.

[ -f /opt/neofetchRandomizer/sportmode.py ] && /opt/neofetchRandomizer/./sportmode.py minimal

Remember that you can replace the minimal param with the parameter that suits you more.

Now whenever you open the shell neofetch will retrive and show you a random logo!

(back to top)

Roadmap

• Add randomization of neofetch logos
• Add more logos and immages

See the open issues for a full list of proposed features (and known issues).

(back to top)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

(back to top)

Contact

TüT - Telegram - Email: m.omicini1@studenti.unimol.it

(back to top)

Acknowledgments

• Neofetch

(back to top)