.. _introduction:

============
Introduction
============

TauREx (Tau Retrieval for Exoplanets) is a fully bayesian inverse atmospheric retrieval framework.
TauREx3 is the next generation of the code and can be used both as a standalone retrieval program
and as a flexible Python library for atmospheric modelling. It is designed so that users can mix and
match components, plug in their own physics, chemistry, or models, and build workflows with as little
friction as possible.

If you want a broader overview of the project, visit the `TauREx website <https://taurex.space/>`_.
It also links to additional learning material, including an `interactive tutorial <https://colab.research.google.com/drive/1RppsquYSrQeHdmjDrwgjrO7DuyQTgJ6O?usp=sharing>`_,
blog posts such as `Learning TauREx in 5 minutes <https://taurex.space/blog/learning_taurex/>`_,
and external resources like `this tutorial series <https://github.com/Mael-Voyer/TauREx-tutorial>`_.

The aim of TauREx3 is to make it straightforward for users to bring in their own
physics, models, or chemistry and then perform retrievals with minimal effort.

For a first hands-on run, continue to :ref:`practical_examples`.