setup.py

#!/usr/bin/env python

""" FluoPi setup """

from setuptools import setup
# To use a consistent encoding
from codecs import open
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

setup(
    name='fluopi',

    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='1.0.0',

    description='Module to manage and analyze time-lapse data obtained with\
    fluopi equipment',
    long_description='Module to manage and analyze timelapse data obtained\
    with fluopi equipment (https://osf.io/dy6p2/). It includes functions from\
    read images data to analyze them with models and perform parameter\
    estimation',

    # The project's main homepage.
    url='https://github.com/SynBioUC/FluoPi',
    
    # The dowload release tag url
    download_url = 'https://github.com/SynBioUC/FluoPi/archive/v1.0.tar.gz',
    
    # Author details
    author='Prosimio',
    author_email='innunez@uc.cl',

    # Choose your license
    license='MIT',

    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 3 - Alpha',

        # Indicate who your project is intended for
        'Intended Audience :: Education',
        'Intended Audience :: Science/Research',
        'Topic :: Education',
        'Topic :: Scientific/Engineering :: Artificial Life',
        'Topic :: Scientific/Engineering :: Bio-Informatics',
        'Topic :: Scientific/Engineering :: Image Recognition',
        'Topic :: System :: Hardware',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: MIT License',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',

    ],

    # What does your project relate to?
    keywords='DIY Biology, Fluorescence signal, Teaching',

    packages=['fluopi'],


    # List run-time dependencies here.  These will be installed by pip when
    # your project is installed. For an analysis of "install_requires" vs pip's
    # requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=['numpy','matplotlib','scikit-image','scipy'],

    # List additional groups of dependencies here (e.g. development
    # dependencies). You can install these using the following syntax,
    # for example:
    # $ pip install -e .[dev,test]
    #extras_require={
    #    'dev': ['check-manifest'],
    #    'test': ['coverage'],
    #},

    # If there are data files included in your packages that need to be
    # installed, specify them here.  If using Python 2.6 or less, then these
    # have to be included in MANIFEST.in as well.
    #package_data={
    #    'sample': ['package_data.dat'],
    # },

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    #data_files=[('my_data', ['data/data_file'])],

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # pip to create the appropriate form of executable for the target platform.
    #entry_points={
    #    'console_scripts': [
    #        'sample=sample:main',
    #    ],
    #},
)