Scikit-learn is a machine learning library known for its simplicity, robustness and wide range of classic machine learning algorithms. It covers everything from classification and regression to clustering and dimensionality reduction, all through a consistent, easy-to-use interface. It’s particularly well-suited to CPU server deployment, making efficient use of optimised underlying libraries, such as NumPy, SciPy and BLAS. This gives it good performance for training and inference of traditional models, while remaining a stable, lightweight and cost-effective solution that doesn’t need specialised hardware.