Abstract
PyProBE (Python Processing for Battery Experiments) is a Python package to process experimental data in a standardised and reproducible way. Recognising that battery experiments are often derivatives of standard procedures, PyProBE simplifies data processing to improve performance and transparency. It was written with the following objectives: 1. Ease of use for those with little Python experience, with a natural language interface. 2. Accelerate battery data exploration with quick plotting and data visualisation, using Polars under-the-hood for rapid DataFrame manipulation and a graphical user interface (GUI). 3. Encourage transparent storage of battery data, with human and computer-readable README-files and a readable API syntax. 4. Host a library of post-processing methods, so techniques can be easily added and compared within a standardised code structure.
Cite
CITATION STYLE
Holland, T., Cummins, D., & Marinescu, M. (2025). PyProBE: Python Processing for Battery Experiments. Journal of Open Source Software, 10(106), 7474. https://doi.org/10.21105/joss.07474
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