Metadata-Version: 2.1
Name: trixs
Version: 2020.7.8
Summary: Data analysis and machine learning for X-ray spectroscopy
Home-page: https://github.com/TRI-AMDD/trixs
Author: AMDD - Toyota Research Institute
Author-email: linda.hung@tri.global
Maintainer: Linda Hung
Maintainer-email: linda.hung@tri.global
License: Apache
Keywords: materials,chemistry,science,x-ray,spectroscopy,xanes,machine learning,AI,artificial intelligence
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn (==0.23.1)
Requires-Dist: pymatgen
Requires-Dist: imbalanced-learn
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: numpy
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
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Requires-Dist: wheel ; extra == 'dev'
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Provides-Extra: tests
Requires-Dist: pytest ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'
Requires-Dist: coveralls ; extra == 'tests'
Requires-Dist: memory-profiler ; extra == 'tests'


[Toyota Research Institute](http://www.tri.global/accelerated-materials-design-and-discovery/)
 X-ray Spectroscopy (TRIXS) is a suite of tools that enables analysis, comparison, and machine learning
for X-ray spectroscopy measurements.
Currently available tools focus on X-ray absorption spectroscopy, particularly XANES spectra.



