setup.py

from setuptools import setup, find_packages
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='plancton',
  version='0.6.0',
  description='An opportunistic distributed computing project based on Docker',
  long_description=long_description,
  url='https://github.com/mconcas/plancton',
  author='Matteo Concas',
  author_email='matteo.concas@cern.ch',
  license='GPL',
  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 :: System Administrators',
    'Topic :: Scientific/Engineering :: Physics',

    # Pick your license as you wish (should match "license" above)
    'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',

    # 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 :: 2.6',
    'Programming Language :: Python :: 2.7',
    ],

  # What does your project relate to?
  keywords='HEP Computing',

  # You can just specify the packages manually here if your project is
  # simple. Or you can use find_packages().
    packages=find_packages(),

  # Alternatively, if you want to distribute just a my_module.py, uncomment
  # this:
  #   py_modules=["my_module"],

  # 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=['pyyaml', 'prettytable', 'docker-py'],

  # 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={
  },

  # 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={
  },

  # 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=[],

  # 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={
  # },
  scripts = ["bin/plancton-bootstrap", "bin/planctonctl"]
)