Featran is a Scala library that simplifies feature engineering for machine learning by providing common transformation operations like scaling, encoding, and normalization. It implements a two-step pattern combining global aggregation followed by element-wise mapping, supporting algorithms such as Min-Max scaling and one-hot encoding. The library integrates with multiple data processing backends including Spark, Flink, Scalding, and Scio.