Metadata-Version: 2.1
Name: jdaviz
Version: 0.1
Summary: Astronomical data analysis development leveraging the Jupyter platform
Home-page: https://jdaviz.readthedocs.io/en/latest/
Author: JDADF Developers
Author-email: nearl@stsci.edu
License: BSD 3-Clause
Description: ======
        JDAViz
        ======
        
        .. image:: https://travis-ci.com/spacetelescope/jdaviz.svg?branch=master
            :target: https://travis-ci.com/spacetelescope/jdaviz
        
        .. image:: https://codecov.io/gh/spacetelescope/jdaviz/branch/master/graph/badge.svg
            :target: https://codecov.io/gh/spacetelescope/jdaviz
        
        .. image:: https://readthedocs.org/projects/jdaviz/badge/?version=latest
            :target: https://jdaviz.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
            :target: https://www.astropy.org
            :alt: Powered by Astropy
        
        
        ``jdaviz`` is a package of astronomical data analysis visualization
        tools based on the Jupyter platform.  These GUI-based tools link data
        visualization and interactive analysis.  They are designed to work
        within a Jupyter notebook cell, as a standalone desktop application,
        or as embedded windows within a website -- all with nearly-identical
        user interfaces. Note that ``jdaviz`` is under heavy development and should 
        not be considered stable or feature-complete. Users who encounter bugs in 
        the currently implemented features are encouraged to open an issues in this 
        repository.
        
        ``jdaviz`` applications currently include tools for interactive
        visualization of spectroscopic data.  SpecViz is a tool for
        visualization and quick-look analysis of 1D astronomical spectra.
        MOSViz is a visualization tool for many astronomical spectra,
        typically the output of a multi-object spectrograph (e.g., JWST
        NIRSpec), and includes viewers for 1D and 2D spectra as well as
        contextual information like on-sky views of the spectrograph slit.
        CubeViz provides of view of spectroscopic data cubes (like those to be
        produced by JWST MIRI), along with 1D spectra extracted from the cube.
        
        
        Installing
        ----------
        For details on installing and using JDAViz, see the
        `JDAViz documentation <https://jdaviz.readthedocs.io/en/latest/>`_.
        
        
        
        License
        -------
        
        This project is Copyright (c) JDADF Developers and licensed under
        the terms of the BSD 3-Clause license. This package is based upon
        the `Astropy package template <https://github.com/astropy/package-template>`_
        which is licensed under the BSD 3-clause licence. See the licenses folder for
        more information.
        
        
        Contributing
        ------------
        
        We love contributions! jdaviz is open source,
        built on open source, and we'd love to have you hang out in our community.
        
        **Imposter syndrome disclaimer**: We want your help. No, really.
        
        There may be a little voice inside your head that is telling you that you're not
        ready to be an open source contributor; that your skills aren't nearly good
        enough to contribute. What could you possibly offer a project like this one?
        
        We assure you - the little voice in your head is wrong. If you can write code at
        all, you can contribute code to open source. Contributing to open source
        projects is a fantastic way to advance one's coding skills. Writing perfect code
        isn't the measure of a good developer (that would disqualify all of us!); it's
        trying to create something, making mistakes, and learning from those
        mistakes. That's how we all improve, and we are happy to help others learn.
        
        Being an open source contributor doesn't just mean writing code, either. You can
        help out by writing documentation, tests, or even giving feedback about the
        project (and yes - that includes giving feedback about the contribution
        process). Some of these contributions may be the most valuable to the project as
        a whole, because you're coming to the project with fresh eyes, so you can see
        the errors and assumptions that seasoned contributors have glossed over.
        
        Note: This disclaimer was originally written by
        `Adrienne Lowe <https://github.com/adriennefriend>`_ for a
        `PyCon talk <https://www.youtube.com/watch?v=6Uj746j9Heo>`_, and was adapted by
        jdaviz based on its use in the README file for the
        `MetPy project <https://github.com/Unidata/MetPy>`_.
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: test
Provides-Extra: docs
