• Open-Source Accessibility: At the core of our project is the commitment to open-source principles, ensuring that the models developed in our tool is freely available to researchers, engineers, and practitioners across the globe. By basing our development on the open-source dataset provided by Naumann et al. , we not only leverage a rich, empirically-validated foundation for our predictive models but also align our tool with established benchmarks in the field. This approach facilitates transparency, reproducibility, and continuous improvement, paving the way for future developments and innovations in battery aging prediction.