Metadata-Version: 2.1
Name: lightspot
Version: 1.0b3
Summary: Modelization of light curves from spotted stars
Home-page: https://github.com/dioph/lightspot
Author: Eduardo Nunes
Author-email: dioph@pm.me
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: dynesty>=1.0
Requires-Dist: h5py
Requires-Dist: matplotlib
Requires-Dist: scipy>=0.19
Requires-Dist: ultranest>=3.0
Provides-Extra: cuda
Requires-Dist: cupy; extra == "cuda"
Requires-Dist: numba; extra == "cuda"
Provides-Extra: docs
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Requires-Dist: myst-nb>=0.17; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
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Provides-Extra: test
Requires-Dist: black==22.3.0; extra == "test"
Requires-Dist: flake8; extra == "test"
Requires-Dist: isort; extra == "test"
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: tox; extra == "test"

# LightSpot

[![](https://github.com/dioph/lightspot/workflows/CI/badge.svg)](https://github.com/dioph/lightspot/actions?query=branch%3Amaster)
[![Documentation Status](https://readthedocs.org/projects/lightspot/badge/?version=latest)](https://lightspot.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/lightspot.svg)](https://badge.fury.io/py/lightspot)
[![Downloads](https://pepy.tech/badge/lightspot)](https://pepy.tech/project/lightspot)

Modelization of light curves from spotted stars.

__Documentation: https://lightspot.readthedocs.io__

## Installation

The latest version is available to download via PyPI: __`pip install lightspot`__.

Alternatively, you can build the current development version from source by cloning this repo (__`git clone https://github.com/dioph/lightspot.git`__) and running __`pip install ./lightspot`__.

## Development

If you're interested in contributing to lightspot, install __pipenv__ and you can setup everything you need with __`pipenv install --dev`__.

To automatically test the project (and also check formatting, coverage, etc.), simply run __`tox`__ within the project's directory.
