Metadata-Version: 2.1
Name: speedyfit
Version: 0.2.3
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
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
Requires-Dist: numpy
Requires-Dist: emcee
Requires-Dist: astropy (>=5.1)
Requires-Dist: astroquery
Requires-Dist: pyvo (>=1.4)
Requires-Dist: matplotlib
Requires-Dist: pyaml
Requires-Dist: corner
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: h5py
Requires-Dist: pandas
Requires-Dist: gaiadr3-zeropoint

![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/)


