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cellpy - a library for assisting in analysing batteries and cells

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This Python Package was developed to help the researchers at IFE, Norway, in their cumbersome task of interpreting and handling data from cycling tests of batteries and cells.

Features

  • Convert testing data into a common format
  • Summarize and compare data
  • Filter out the steps of interest
  • Process and plot the data
  • Do simple and advanced analysis on single datasets as well as collections of datasets
  • And more!

Documentation

The documentation for cellpy is hosted on Read the Docs.

Installation and dependencies

The easiest way to install cellpy is to install with conda or pip.

With conda:

conda install -c conda-forge cellpy

Or if you prefer installing using pip:

python -m pip install cellpy

Have a look at the documentation for more detailed installation procedures, especially with respect to "difficult" dependencies when installing with pip.

License

cellpy is free software made available under the MIT License.

Citing cellpy

If you use cellpy in your work, please cite our paper:

Wind J., Ulvestad A., Abdelhamid M., Mæhlen J.P. (2024). Cellpy – an open-source library for processing and analysis of battery testing data. Journal of Open Source Software, 9(97), 6236.

DOI

Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given. If you want to contribute, please have a look at Contributing Guidelines.

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Source Distribution

cellpy-2.1.3.tar.gz (4.7 MB view details)

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cellpy-2.1.3-py3-none-any.whl (614.9 kB view details)

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