Metadata-Version: 2.1
Name: lumispy
Version: 0.2.2
Summary: Analysis of luminescence spectroscopy data with HyperSpy.
Home-page: https://lumispy.org
Author: The LumiSpy developers
License: GPLv3
Project-URL: Bug Reports, https://github.com/lumispy/lumispy/issues
Project-URL: Source, https://github.com/lumispy/lumispy
Keywords: CL,PL,EL,TRCL,TRPL,SEM,STEM,TEM,cathodoluminescence,photoluminescence,electroluminescence,Raman,curve fitting,electron microscopy,hyperspectral,hyperspectrum,hyperspy,luminescence spectroscopy,lumispy,machine learning,model,multidimensional,numpy,python,scipy,spectroscopy,spectrum image,time-resolved
Platform: Linux
Platform: Mac OSX
Platform: Windows XP/2000/NT
Platform: Windows 95/98/ME
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
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
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: hyperspy (>=1.7)
Provides-Extra: build-doc
Requires-Dist: sphinx (>=4.3.0) ; extra == 'build-doc'
Requires-Dist: sphinx-rtd-theme (>=0.5.1) ; extra == 'build-doc'
Requires-Dist: sphinx-toggleprompt ; extra == 'build-doc'
Provides-Extra: coverage
Requires-Dist: pytest-cov ; extra == 'coverage'
Requires-Dist: codecov ; extra == 'coverage'
Provides-Extra: tests
Requires-Dist: pytest (>=5.0) ; extra == 'tests'

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<img src="https://github.com/LumiSpy/lumispy/raw/main/doc/_static/logo_rec_april21.svg" width="300" alt="LumiSpy">

LumiSpy is a Python package extending the functionality for multi-dimensional
data analysis provided by the [HyperSpy](https://hyperspy.org) library. It is
aimed at helping with the analysis of luminescence spectroscopy data
(cathodoluminescence, photoluminescence, electroluminescence, Raman, SNOM).

If analysis using LumiSpy forms a part of published work, please consider 
recognising the code development by citing the project using the
[Zenodo-DOI](https://doi.org/10.5281/zenodo.4640445).

Go to the documentation for instructions on how to install LumiSpy and start an
analysis: [Read the docs](https://docs.lumispy.org).

[Tutorials and exemplary 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. These can be either downloaded and
run locally or tried out using interactive online sessions.

Everyone is welcome to contribute. Please read our
[contributing guidelines](https://github.com/LumiSpy/lumispy/blob/main/CONTRIBUTING.rst) and get started!

Development of LumiSpy is documented in the
[changelog](https://github.com/LumiSpy/lumispy/blob/main/CHANGELOG.rst).


