Metadata-Version: 2.1
Name: iris-ued
Version: 5.0.5
Summary: Ultrafast electron diffraction data exploration
Home-page: http://iris-ued.readthedocs.io
Author: Laurent P. René de Cotret
Author-email: laurent.renedecotret@mail.mcgill.ca
Maintainer: Laurent P. René de Cotret
Maintainer-email: laurent.renedecotret@mail.mcgill.ca
License: MIT
Download-URL: http://github.com/LaurentRDC/iris-ued
Project-URL: Documentation, http://iris-ued.readthedocs.io/en/master/
Project-URL: Source, https://github.com/LaurentRDC/iris-ued
Project-URL: Tracker, https://github.com/LaurentRDC/iris-ued/issues
Project-URL: Home, http://www.physics.mcgill.ca/siwicklab/software.html
Description: Iris
        ====
        
        .. image:: https://img.shields.io/appveyor/ci/LaurentRDC/iris-ued/master.svg
            :target: https://ci.appveyor.com/project/LaurentRDC/iris-ued
            :alt: Windows Build Status
        .. image:: https://readthedocs.org/projects/iris-ued/badge/?version=master
            :target: http://iris-ued.readthedocs.io/
            :alt: Documentation Build Status
        .. image:: https://img.shields.io/pypi/v/iris-ued.svg
            :target: https://pypi.python.org/pypi/iris-ued
            :alt: PyPI Version
        .. image:: https://img.shields.io/conda/vn/conda-forge/iris-ued.svg
            :target: https://anaconda.org/conda-forge/iris-ued
            :alt: Conda-forge Version
        .. image:: https://img.shields.io/pypi/pyversions/iris-ued.svg
            :alt: Supported Python Versions
        
        Iris is both a library for interacting with ultrafast electron diffraction data, as well as a GUI frontend
        for interactively exploring this data.
        
        Iris also includes a plug-in manager so that you can explore your data.
        
        .. figure:: iris_screen.png
            :alt: Data exploration of single-crystals and polycrystals alike.
            :align: center
            :width: 85%
        
            Two instances of the iris GUI showing data exploration for ultrafast electron diffraction of single crystals and polycrystals.
        
        Installation
        ------------
        
        Iris is available on PyPI; it can be installed with `pip <https://pip.pypa.io>`_.::
        
            python -m pip install iris-ued
        
        Iris is also available on the conda-forge channel::
        
            conda config --add channels conda-forge
            conda install iris-ued
        
        To install the latest development version from `Github <https://github.com/LaurentRDC/iris-ued>`_::
        
            python -m pip install git+git://github.com/LaurentRDC/iris-ued.git
        
        Each version is tested against Python 3.6. If you are using a different version, tests can be run
        using the standard library's `unittest` module.
        
        Usage
        -----
        
        Once installed, the package can be imported as :code:`iris`. 
        
        The GUI component can be launched from a command line interpreter as :code:`python -m iris`
        or :code:`pythonw -m iris` (no console window).
        
        Documentation
        -------------
        
        The `Documentation on readthedocs.io <https://iris-ued.readthedocs.io>`_ provides API-level documentation, as 
        well as tutorials.
        
        Support / Report Issues
        -----------------------
        
        All support requests and issue reports should be
        `filed on Github as an issue <https://github.com/LaurentRDC/iris-ued/issues>`_.
        
        License
        -------
        
        iris is made available under the MIT License. For more details, see `LICENSE.txt <https://github.com/LaurentRDC/iris-ued/blob/master/LICENSE.txt>`_.
        
Keywords: ultrafast electron diffraction visualization pyqtgraph
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >= 3.6
Description-Content-Type: text/x-rst
