Tidynote: Always-Clear Notebook Authoring

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Authors: Ruanqianqian Lisa Huang, Brian Hempel, Yining Cao, James D. Hollan, Haijun Xia, Sorin Lerner
Cited by: 1
References: 41

Abstract

Recent work identified clarity as one of the top quality attributes that notebook users value, but notebooks lack support for maintaining clarity throughout the exploratory phases of the notebook authoring workflow. We propose always-clear notebook authoring that supports both clarity and exploration, and present a Jupyter implementation called Tidynote. The key to Tidynote is three-fold: (1) a scratchpad sidebar to facilitate exploration, (2) cells movable between the notebook and the scratchpad to maintain organization, and (3) linear execution with state forks to clarify program state. An exploratory study (N=13) of open-ended data analysis tasks shows that Tidynote features holistically promote clarity throughout a notebook’s lifecycle, support realistic notebook tasks, and enable novel strategies for notebook clarity. These results suggest that Tidynote supports maintaining clarity throughout the entirety of notebook authoring.

Fields of Study & Subjects

Distributed systems and fault tolerance Mathematics Computing and Information Processing Electrowetting and Microfluidic Technologies

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–17
Publication date
13 April 2026