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allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) emcee (Markov Chain Monte Carlo sampling) and celerite (Gaussian Process models).
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README.md

[German-ish for everything-fitter]

allesfitter (Günther & Daylan, in prep.) is a public and user-friendly astronomy software package for modeling photometric and RV data. It can accommodate multiple exoplanets, multi-star systems, star spots, stellar flares, and various noise models. A graphical user interface allows to define all input. Then, allesfitter automatically runs a nested sampling or MCMC fit, and produces ascii tables, latex tables, and plots. For all this, allesfitter constructs an inference framework that unites the versatile packages ellc (light curve and RV models; Maxted 2016), aflare (flare model; Davenport et al. 2014), dynesty (static and dynamic nested sampling; https://github.com/joshspeagle/dynesty), emcee (Markov Chain Monte Carlo sampling; Foreman-Mackey et al. 2013) and celerite (Gaussian Process models; Foreman-Mackey et al. 2017). If you use allesfitter or parts of it in your work, please cite and acknowledge all software as detailed below.

Documentation: https://allesfitter.readthedocs.io/en/latest/

Citation: Günther & Daylan, in prep.

Acknowledgement: "This work makes use of the allesfitter package (Günther & Daylan, in prep.), which is a convenient wrapper around the packages ellc (Maxted 2016), aflare1.py (Davenport 2014), dynesty (https://github.com/joshspeagle/dynesty), emcee (Foreman-Mackey 2013) and celerite (Foreman-Mackey 2017). This work makes further use of the python programming language (Rossum 1995) and the open-source python packages numpy (van der Walt, Colbert & Varoquaux 2011), scipy (Jones et al. 2001), matplotlib (Hunter 2007), tqdm (doi:10.5281/zenodo.1468033) and seaborn (https://seaborn.pydata.org/index.html)."

Contributors: Maximilian N. Günther, Tansu Daylan

License: The code is freely available at https://github.com/MNGuenther/allesfitter under the MIT License. Feedback and contributions are very welcome.

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