Metadata-Version: 1.2
Name: pyvo
Version: 1.1
Summary: Astropy affiliated package for accessing Virtual Observatory data and services
Home-page: https://github.com/astropy/pyvo
Author: the IVOA community
Author-email: sbecker@ari.uni-heidelberg.de
License: BSD
Description: PyVO
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        PyVO is a package providing access to remote data and services of the
        Virtual observatory (VO) using Python.
        
        Its development was launched by the NSF/NASA-funded Virtual Astronomical
        Observatory (VAO, www.usvao.org) project (formerly under the name
        VAOpy) as part of its initiative to bring VO capabilities to desktop.
        Its goal is to allow astronomers and tool developers to access data and
        services from remote archives and other web resources.  It takes
        advantage of VO standards to give access to thousands of catalogs,
        data archives, information services, and analysis tools.  It also
        takes advantage of the general capabilities of Astopy (and numpy), and
        so a secondary goal is to provide a development platform for migrating
        more VO capabilities into Astropy.
        
        Source code can be found `on GitHub <http://github.com/astropy/pyvo>`_
        
        Releases of PyVO are available from `PyPI <https://pypi.python.org/pypi/pyvo>`_
        thus, it and its prerequisites can be most easily installed using ``pip``:
        
           pip install pyvo
        
        Alternatively, you can do a source install:
            python setup.py install
        
        EXAMPLES
        --------
        
        Many instructive examples can be found in the `PyVO Documentation <http://pyvo.readthedocs.org>`_.
        Additional examples can be found in the scripts directory.
        
        UNIT TESTS
        ----------
        
        PyVO uses the Astropy framework for unit tests which is built into the
        setup script.  To run the tests, type:
        
            python setup.py test
        
        This will run all unit tests that do not require a network
        connection.  To run all tests, including those that access the
        network, add the --remote-data (-R) option:
        
            python setup.py test -R
        
Platform: UNKNOWN
Requires-Python: >=3.5
