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Thea is used to control the lighting of model(-train) layouts based on simulations and real world data.

Project description


"Titaness of (...) the shining light of the clear blue sky" from Wikipedia retrieved 1 November 2018.

Python version Linux status Windows status Docs Codacy Badge Codacy Badge Updates License: LGPL 3 Code style: black

Thea is used to control the environment of model (train) layouts based on real-world data and simulation models. Current development is focused around lighting 🌄 but we plan to expand the functionalities to include sound 🔉 and actuator control.

🌱 Origin

This project was started in order to control lighting of model-train layouts in more interesting ways. Most solutions only offer manual and rule based control resulting in very predictive behavior. Thea breaks with this by controlling the model environment based on real-word data and simulation models that introduce an element of randomness.

✅ Principles

  • Science based environment simulation;
  • Simple to start but complex if you want to;
  • Modern user interface;
  • Support for common hardware;

✨ Features

Currently Thea is in early development so the list of available features is a bit short. However we have a lot planned:

  • [x] Accelerated model time
  • [ ] Day and night cycle 🌓
  • [ ] Hardware control over MQTT
  • [ ] Household lighting
  • [ ] Weather patterns 🌀
  • [ ] Traffic 🚗
  • [ ] Opening-hours 🕓
  • [ ] Graphical user interface
  • [ ] Moon and stars 🌛✨
  • [ ] DCC train control 🚂
  • [ ] Weather sounds 🔉

🤔 Getting started

Currently there is not much use in this project as an end user. However if you would like to contribute head over to the contributing section of our documentation. We are happy to receive pull-requests.

📚 Documentation

All our documentation including on how to get started can be found here.

📃 License

Thea is created by Mike van Sighem and licensed under LGPL version 3. Refer to the license for more details.

💛 Contributing

We are happy to see contributors on the project. Head over to the contributing section of our documentation and submit your first pull-requests.

Project details

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