autofeat and featuristic

These are **competitors**: both automate feature engineering and selection for predictive modeling, but autofeat uses linear models with regularization-based feature selection while featuristic uses symbolic regression with genetic programming—requiring users to choose based on whether they prefer interpretability through symbolic expressions or scalability through linear methods.