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We present the open-source Bayesian Atmospheric Radiative Transfer (BART)retrieval package, which produces estimates and uncertainties for anatmosphere's thermal profile and chemical abundances from observations. SeveralBART components are also stand-alone packages, including the parallelMulti-Core Markov chain Monte Carlo (MC3), which implements several Bayesiansamplers; a line-by-line radiative-transfer model, transit; a code thatcalculates Thermochemical Equilibrium Abundances, TEA; and a test suite forverifying radiative-transfer and retrieval codes, BARTTest. The codes are inPython and C. BART and TEA are under a Reproducible Research (RR) license,which requires reviewed-paper authors to publish a compendium of all inputs,codes, and outputs supporting the paper's scientific claims. BART and TEAproduce the compendium's content. Otherwise, these codes are under permissiveopen-source terms, as are MC3 and BARTTest, for any purpose. This paperpresents an overview of the code, BARTTest, and an application to eclipse datafor exoplanet HD 189733 b. Appendices address RR methodology for acceleratingscience, a reporting checklist for retrieval papers, the spectral resolutionrequired for synthetic tests, and a derivation of the effective sample sizerequired to estimate any Bayesian posterior distribution to a given precision,which determines how many iterations to run. Paper II, by Cubillos et al.,presents the underlying radiative-transfer scheme and an application to transitdata for exoplanet HAT-P-11b. Paper III, by Blecic et al., discusses theinitialization and post-processing routines, with an application to eclipsedata for exoplanet WASP-43b. We invite the community to use and improve BARTand its components at http://GitHub.com/ExOSPORTS/BART/.

An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b