MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing, and comparing over 200 machine learning models written in Julia and other languages. It serves as an umbrella package for components distributed across other packages in the Julia ML ecosystem.