Metadata-Version: 2.4
Name: bdat
Version: 0.23.2
Home-page: https://github.com/DigiBatt/bdat
Author: Elias Barbers, Forschungszentrum Jülich
Author-email: e.barbers@fz-juelich.de
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas==2.2.2
Requires-Dist: altair==5.1.2
Requires-Dist: click==8.1.7
Requires-Dist: parse==1.19.0
Requires-Dist: numpy==2.0.0
Requires-Dist: scipy==1.13.1
Requires-Dist: pyarrow==16.1.0
Requires-Dist: pymongo==4.7.3
Requires-Dist: requests
Requires-Dist: ratelimit
Dynamic: license-file

bdat
====

![Overview](sphinx/images/bdat_test_steps.svg)

The Battery Data Analysis Toolkit (bdat) provides a set of functions that enable the import and analysis of electrical battery data.
It is designed to interact with a [Kadi4Mat](https://kadi.iam.kit.edu/>) instance, but can also be used as a standalone tool.

Documentation: https://digibatt.github.io/bdat

Examples:  [examples](examples)

Setup
=====

Installation
------------

The required dependencies and the package itself can be installed using pip:

    pip install -r requirements.txt
    pip install -e .

Documentation
-------------

The documentation is built using the script

    ./build_docs.sh
