TBLAD is a software package implemented in Python for analysis of diverse amperometric datasets using well-established data-driven approaches in computational science. Specifically, it uses a standard Machine Learning pipeline, wherein several hundred features calculated from entire amperometric time series data enables very high accuracy predictions and novel insights into the datasets.
