ReciPies: A Lightweight Data Transformation Pipeline for Reproducible ML

Machine Learning (ML) workflows live or die by their data‑preprocessing steps. In Python, these steps are oftenscattered across ad‑hoc scripts or opaque scikit-learn snippets that are hard to read, audit, or reuse.ReciPies provides a concise, human‑readable, and reproducible way to declare, execute, and sharepreprocessing pipelines following configuration-as-code principles. It lowers the cognitive load offeature engineering, improves reproducibility, and makes methodological choices explicit forresearchers, engineering teams, and peer reviewers.