Metadata-Version: 2.1
Name: speedyfit
Version: 0.2.2
Summary: MC approach to fit photometric SEDs
Home-page: https://github.com/vosjo/speedyfit
Author: Joris Vos
Author-email: joris.vos@uv.cl
License: UNKNOWN
Description: ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/speedyfit)
        [![PyPI](https://img.shields.io/pypi/v/speedyfit?color=blue)](https://pypi.org/project/speedyfit/)
        [![Documentation Status](https://readthedocs.org/projects/speedyfit/badge/?version=latest)](https://speedyfit.readthedocs.io/en/latest/?badge=latest)
        [![GitHub](https://img.shields.io/github/license/vosjo/speedyfit)](https://github.com/vosjo/speedyfit/blob/master/LICENSE)
        
        # Speedyfit
        
        A python package to fit the photometric spectral energy distribution of stars. Uses a Markov chain Monte Carlo approach 
        to determine the errors on the derived parameters.
        
        Speedyfit 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. 
        
        ## Documentation
        
        The detailed documentation is a work in progress, but the command line documentation is complete. You can read the
         current version at:
        [speedyfit.readthedocs.io](https://speedyfit.readthedocs.io/en/stable/)
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires-Python: >=3.7
Description-Content-Type: text/markdown
