KSP Data Scraping

A tool to scrape Kerbal Space Program engine part data from its gamefiles
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Table of Contents

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

About The Project

This is a small python project that aims to scrape part data from the Kerbal Space Program gamefiles, for use in data analysis and payload calculations.

Getting Started

This is a rough guide on how to use the scripts, a full guide will be coming soon once there has been a full release. Use at your own discretion.

Prerequisites

Python3 is required to run. These packages will also be required.

• os
• csv
• pandas

Installation

1. Clone the repo

   git clone https://github.com/TrisBentall/ksp-data-scraping.git

2. Install the required packages

   pip install os csv pandas

3. In the python script, replace YOURPATH with the file path to your gamedata

   Path = 'YOURPATH'

Roadmap

There are numerous features I'd like to add to this in the future, these are not garranteed and there is no timeline on when they might be added

• Split engine data to display its performance in different conditions, e.g. show how the R.A.P.I.E.R engine performs when in its air breathing configuration vs in its closed cycle configuration
• Allow certain statistics to be graphed, and compared to other engines
• Deliver a fully functional GUI

If you have any feature requests, please feel free to create an issue and I'll look at adding it into the roadmap.

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

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

License

Distributed under the GPL-3.0 License. See LICENSE.txt for more information.

Contact

Tris Bentall - @trisbentall

Project Link: https://github.com/TrisBentall/ksp-data-scraping

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