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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "PyKE\n====\n\n**Easy command line tools for Kepler, K2 & TESS data analysis.**\n\n|pypi-badge| |ci-badge| |appveyor-badge| |doi-badge|\n\n.. |pypi-badge| image:: https://img.shields.io/pypi/v/pyketools.svg\n                :target: https://pypi.python.org/pypi/pyketools\n.. |ci-badge| image:: https://travis-ci.org/KeplerGO/pyke.svg?branch=master\n              :target: https://travis-ci.org/KeplerGO/pyke\n.. |appveyor-badge| image:: https://ci.appveyor.com/api/projects/status/6jvv5d7a142gwm8a/branch/master?svg=true\n                    :target: https://ci.appveyor.com/project/mirca/pyke\n.. |doi-badge| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.835583.svg\n              :target: https://doi.org/10.5281/zenodo.835583\n\n\nDeveloped since 2012, PyKE offers a user-friendly way to inspect and analyze\nthe pixels and lightcurves obtained by NASA's Kepler, K2, and TESS missions.\n\nDocumentation\n-------------\n\nDocumentation is hosted at `pyke.keplerscience.org <http://pyke.keplerscience.org>`_.\n\nWhat's new in PyKE v3.1? (January 2017)\n----------------------------------------\n\nPyKE3 is the latest generation of the Kepler/K2/TESS toolkit.\nIt provides the following key improvements:\n\n* PyKE3 is now a `pip-installable <http://pyke.keplerscience.org/install.html#installing-pyke>`_ package and supports both Python 2 and 3\n* `tasks <http://pyke.keplerscience.org/overview.html>`_ are now available both as command-line tools and Python functions\n* documentation and tutorials are now generated using Sphinx\n* PyKE3 provides an easy interface to play with target pixel files and light curve files\n  from within a Python session\n* The PRF photometry tools were refactored into a more flexible interface\n\nSee the following IPython notebook for examples of the new features and changes: http://pyke.keplerscience.org/tutorials/ipython_notebooks/whatsnew31.html.\n\nQuickstart\n----------\n\nIf you have a working version of Python 2 or 3 on your system\n(we recommend `Anaconda Python <https://www.continuum.io/downloads>`_),\nyou can simply install the latest stable release of PyKE using ``pip``::\n\n    $ pip install pyketools\n\nWith PyKE installed, you can directly visualize frames from a target pixel file.\nFor example, let's visualize the pixels of Kepler target KIC008462852\n(a.k.a. Tabby's Star)::\n\n    $ kepmask kplr008462852-2013098041711_lpd-targ.fits.gz --maskfile mask.txt\n\n.. we should use full url addresses for images henceforth, so that they will be correctly captured by PYPI\n\n.. image:: http://pyke.keplerscience.org/_images/kepmask1.png\n\n``kepmask`` is an interactive tool used to create a custom\naperture mask which can subsequently be used in other PyKE tasks.\n\nFor example, we can now use the ``kepextract`` task to perform aperture photometry using the pixels defined using ``kepmask`` above::\n\n    $ kepextract kplr008462852-2013098041711_lpd-targ.fits.gz --outfile lightcurve.fits --maskfile mask.txt\n\nThis creates a file called ``lightcurve.fits`` which contains a lightcurve in a format similar to those found in the official archive.\nTo visualize the resulting light curve, we can use ``kepdraw``::\n\n    $ kepdraw lightcurve.fits\n\n.. image:: http://pyke.keplerscience.org/_images/kepdraw1.png\n\n\nContributing\n------------\n\nUsers are welcome to open `issues <https://github.com/KeplerGO/PyKE/issues>`_ or `pull requests <https://github.com/KeplerGO/PyKE/pulls>`_.\nYou can also contact the development team via keplergo@mail.arc.nasa.gov\n\n\nCiting\n------\n\nIf you find this code useful in your research, please cite both (Vin\u00edcius et al. 2017) and (Still & Barclay, 2012)\nusing the BibTeX provided below. Also, please give us a GitHub star!\n\n::\n\n    @misc{pyke3,\n      author       = {Z\u00e9 Vin\u00edcius and\n                      Geert Barentsen and\n                      Michael Gully-Santiago and\n                      Ann Marie Cody and\n                      Christina Hedges and\n                      Martin Still and\n                      Tom Barclay},\n      title        = {KeplerGO/PyKE},\n      month        = jul,\n      year         = 2017,\n      doi          = {10.5281/zenodo.835583},\n      url          = {https://doi.org/10.5281/zenodo.835583}\n    }\n\n    @misc{2012ascl.soft08004S,\n      author       = {{Still}, M. and {Barclay}, T.},\n      title        = \"{PyKE: Reduction and analysis of Kepler Simple Aperture Photometry data}\",\n      keywords     = {Software},\n      howpublished = {Astrophysics Source Code Library},\n      year         = 2012,\n      month        = aug,\n      archivePrefix= \"ascl\",\n      eprint       = {1208.004},\n      adsurl       = {http://adsabs.harvard.edu/abs/2012ascl.soft08004S}\n    }",
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