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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 .

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高级检索

Introducing Pyra: A High-Level Linter for Data Science Software

  • 会议论文

  • 发表日期：

    2026年

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

摘要

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 .