BDF Release on Pypi

BDF & Standards
1

Hi all,

We’re excited to share that the Battery Data Format (BDF) was officially released on PyPI!

This release serves as a foundational utility for working with BDF-compliant datasets, including:

  • Reading BDF datasets

  • Schema validation

  • Programmatic access to structured battery data

  • Utilities to support downstream analysis workflows

You can install it via:

pip install batterydf

PyPI page (v0.1.0):
https://pypi.org/project/batterydf/0.1.0/

We encourage everyone to install it, test it against your datasets, and help us harden the implementation. Please raise any:

  • Bugs

  • Edge cases

  • Documentation gaps

  • Feature requests

Issues can be opened here:
https://github.com/battery-data-alliance/battery-data-format/issues

A special thank you to @DrSimonClark for leading the development of this package and contributing the majority of the implementation. His work has been instrumental in moving BDF from specification to practical tooling.

We’ll be sharing example workflows and minimal reference datasets shortly to make onboarding easier.

This release marks an important milestone for the Battery Data Alliance as we continue building out the BDF ecosystem and move from specification to usable tooling.

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