  We report a user-friendly software environment for battery data science. It
is designed to streamline data management, data cleaning, and data analysis to
help bridge the gap between the domain expertise of most battery scientists and
the tools needed as the field becomes increasingly data intensive. The software
solution suitable for ingesting battery test data from disparate sources. By
aggregating data in an intelligent way, users can streamline routine data
analysis tasks and leverage Jupyter Notebook functionality to build advanced
scripts and analytics, thereby making battery engineering teams more
productive.
