Introducing Pyra: A High Level Linter for Data Science

Greta Dolcetti, Vincenzo Arceri, Antonella Mensi, Enea Zaffanella, Caterina Urban, Agostino Cortesi

Abstract

We present Pyra, a static analysis tool that aims at detecting code smells in data science workflows. Our goal is to capture potential issues, focusing on misleading visualizations, challenges for reproducibility, as well as misleading, unreliable or unexpected results.

Link to the demo: https://www.youtube.com/watch?v=D-AsyuhsTyo
GitHub repository: https://github.com/spangea/Pyra