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
- 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!
The documentation for cellpy is hosted on Read the Docs.
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.
cellpy is free software made available under the MIT License.
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.
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.