Boruta

Boruta is implemented in R and does not have equivalents or bindings for other popular data science languages like Python, limiting its accessibility.

Random forests can be computationally expensive, leading to slow performance when dealing with very large datasets, which may limit practical use in big data scenarios.

Boruta has a smaller user base compared to other feature selection libraries like scikit-learn's SelectKBest or RFE, which can result in fewer contributions, slower updates, and limited community support.

The documentation primarily covers basic usage scenarios but falls short when it comes to explaining how to handle more complex or edge-case feature selection problems effectively.