The creator here. I'm working on AutoML since 2016. I think that latest release (0.7.15) of MLJAR AutoML is amazing. It has ton of fantastic features that I always want to have in AutoML:<p>- Operates in three modes: Explain, Perform, Compete.<p>- `Explain` is for data exploratory and checking the default performance (without HP tuning). It has Automatic Exploratory Data Analysis.<p>- `Perform` is for building production-ready models (HP tuning + ensembling).<p>- `Compete` is for solving ML competitions in limited time amount (HP tuning + ensembling + stacking).<p>- All ML experiments have automatic documentation which creates Markdown reports ready to commit to the repo (<a href="https://github.com/mljar/mljar-examples/tree/master/Income_classification/AutoML_1#automl-leaderboard" rel="nofollow">https://github.com/mljar/mljar-examples/tree/master/Income_c...</a>).<p>- The package produces extensive explanations: decision tree visualization, feature importance, SHAP explanations, advanced metrics values.<p>- It has advanced feature engineering, like: Golden Features, Features Selection, Time and Text Transformations, Categoricals handling with target, label, or one-hot encodings.