  Exoplanet atmospheric retrieval is a computational technique widely used to
infer properties of planetary atmospheres from remote spectroscopic
observations. Retrieval codes typically employ Bayesian sampling algorithms or
machine learning approaches to explore the range of atmospheric properties
(e.g., chemical composition, temperature structure, aerosols) compatible with
an observed spectrum. However, despite the wide adoption of exoplanet retrieval
techniques, there is currently no systematic summary of exoplanet retrieval
codes in the literature. Here, we provide a catalogue of the atmospheric
retrieval codes published to date, alongside links to their respective code
repositories where available. Our catalogue will be continuously updated via a
Zenodo archive.
