MLlib vs. Figaro

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions from evidence.