This package provides yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. It handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimized algorithm.