Speedyfit is a python package to fit the photometric spectral energy distribution of stars. It uses Bayesian inference to correctly take known parameters with errorbars into account as priors, and uses a a Markov chain Monte Carlo approach to fit the requested parameters and determine their final errors.
It is a command line tool writen in Python 3 that allows you to search the most common online databases for photometric observations of your target, and fit theoretical atmosphere models to the obtained photometry. Speedyfit can deal with both single and binary stars, and allows for the inclusion of constraints from other sources, as for example the distance or reddening but equally so constraints from spectroscopic observations.
userguide/install userguide/quickstart userguide/command_line userguide/setup_file userguide/photometry_catalogs userguide/add_photometry_catalogs userguide/photometry_file userguide/model_grids userguide/making_figures
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