AutoEis

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0.0.36 autoeis-0.0.36-py3-none-any.whl

Wheel Details

Project: AutoEis
Version: 0.0.36
Filename: autoeis-0.0.36-py3-none-any.whl
Download: [link]
Size: 182130
MD5: 40db765053457b2698135a18d87411d0
SHA256: 00e93d715f31e3d21345f7f8d8095fabf26b82edb24cf7120900aab35f6d0122
Uploaded: 2024-11-27 05:13:10 +0000

dist-info

METADATA

Metadata-Version: 2.3
Name: autoeis
Version: 0.0.36
Summary: A tool for automated EIS analysis by proposing statistically plausible ECMs.
Author-Email: Runze Zhang <runzee.zhang[at]mail.utoronto.ca>, Amin Sadeghi <amin.sadeghi[at]live.com>, Robert Black <robert.black[at]nrc-cnrc.gc.ca>, Jason Hattrick-Simpers <jason.hattrick.simpers[at]utoronto.ca>
Maintainer-Email: Amin Sadeghi <amin.sadeghi[at]live.com>
Project-Url: Homepage, https://github.com/AUTODIAL/AutoEIS
Project-Url: Repository, https://github.com/AUTODIAL/AutoEIS
Project-Url: Bug Tracker, https://github.com/AUTODIAL/AutoEIS/issues
Project-Url: Documentation, https://autodial.github.io/AutoEIS
License: MIT
Keywords: bayesian inference,electrochemical impedance spectroscopy,equivalent circuit model,evolutionary algorithm
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: <3.13,>=3.10
Requires-Dist: arviz
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Requires-Dist: deprecated
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Requires-Dist: impedance
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Requires-Dist: numpy (<2)
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Requires-Dist: scikit-learn (>=1.4)
Requires-Dist: seaborn
Requires-Dist: tqdm
Requires-Dist: lcapy; extra == "lcapy"
Provides-Extra: lcapy
Description-Content-Type: text/markdown
[Description omitted; length: 3378 characters]

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