Metadata-Version: 2.4
Name: neurokin
Version: 0.3.3
Summary: package to support neural and kinematic data analysis
Home-page: https://github.com/WengerLab/neurokin
Author: Elisa L. Garulli
Author-email: e.garulli@charite.de
License: BSD 2-clause
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: c3d==0.5.2
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Requires-Dist: tdt==0.5.3
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Requires-Dist: matplotlib==3.7.3
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Provides-Extra: dev
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Requires-Dist: nbsphinx; extra == "docs"
Requires-Dist: sphinxawesome-theme; extra == "docs"
Requires-Dist: pygments; extra == "docs"
Dynamic: author
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Dynamic: classifier
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# neurokin

neurokin aims to simplify the import and processing of neural and kinematic data. On top of basic preprocessing functions, it also provides more complex pipelines for multimodal data analysis. 
neurokin supports TDT and open_ephys formats natively for neural and .c3d files and DeepLabCut datasets for kinematics data but can be expanded easily. Please get in touch if you have another type of data.

To install use: 

    pip install neurokin

See the [documentation](https://neurokin.readthedocs.io/en/latest/) for example analysis


<p align="center">
  <img src="https://github.com/user-attachments/assets/0ac3c436-f3f8-4c6a-a689-e359dbbbe4cb" />
</p>
