Metadata-Version: 2.1
Name: lumispy
Version: 0.1.0
Summary: Luminescence spectroscopy data analysis with HyperSpy.
Home-page: https://github.com/lumispy/lumispy
Author: The LumiSpy Developers
License: GPLv3
Project-URL: Bug Reports, https://github.com/lumispy/lumispy/issues
Project-URL: Source, https://github.com/lumispy/lumispy
Description: # LumiSpy
        
        [![Build Status](https://dev.azure.com/Lumispy/lumispy/_apis/build/status/LumiSpy.lumispy?branchName=master)](https://dev.azure.com/Lumispy/lumispy/_build/latest?definitionId=3&branchName=master)
        ![Tests](https://github.com/lumispy/lumispy/workflows/Tests/badge.svg)
        [![Coverage Status](https://coveralls.io/repos/github/LumiSpy/lumispy/badge.svg?branch=master)](https://coveralls.io/github/LumiSpy/lumispy?branch=master)
        
        LumiSpy is an extension Python package for multi-dimensional data analysis 
        provided by the [HyperSpy](http://hyperspy.org) library. It is aimed at helping 
        with the analysis of luminescence spectroscopy data (cathodoluminescence, 
        photoluminescence, electroluminescence, Raman, SNOM).
        
        LumiSpy is released under the GPL v3 license. 
        
        If analysis using LumiSpy forms a part of published work please consider 
        recognising the code development by citing the
        [github repository](www.github.com/lumispy/lumispy).
        
        Instructions on how to install LumiSpy and get started: [installation guide](www.github.com/lumispy/lumispy/blob/master/INSTALLATION.md).
        
        [Tutorials and example workflows](https://github.com/lumispy/lumispy-demos)
        have been curated as a series of Jupyter notebooks that you can work through 
        and modify to perform many common analyses. Simply:
        
        1. Download the `lumispy_demos` repository in your desired folder
        2. Load lumispy (as shown above)
        3. In Jupyter lab, navigate to the folder and start using the notebook
        
        Everyone is welcome to contribute. Please read our
        [contributing guidelines](https://github.com/lumispy/lumispy/blob/master/.github/CONTRIBUTING.md) and get started!
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: coverage
