mljar-supervised is an AutoML Python package that assists with understanding and explaining tabular data. Our data science teams are excited about it and use it to automate exploratory data analysis. It abstracts the common way to preprocess the data, construct the machine learning (ML) models and perform hyper-parameters tuning to find the best model. Explainability and transparency are important tenets, and that's where mljar-supervised shines. It allows you to see exactly how the ML pipeline is constructed with a detailed markdown report for each ML model. It’s definitely an interesting AutoML package that’s worth assessing for your ML needs.