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PupEyes: An interactive Python library for eye movement data processing.

Han Zhang¹, John Jonides²

¹University of Michigan, Ann Arbor, MI, USA. hanzh@umich.edu.

Behavior Research Methods

|January 6, 2026

Summary

This summary is machine-generated.

PupEyes is a new open-source Python package that simplifies preprocessing and visualizing pupil size and fixation data. It ensures reproducible analysis and enhances data understanding through interactive tools.

Keywords:

Data analysis Eye-tracking Fixation Pupillometry Python

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Area of Science:

Cognitive Science
Neuroscience
Computer Science

Background:

Pupil size and fixation data are crucial for understanding cognitive processes.
Existing tools for analyzing this data can be fragmented and lack standardization.
Reproducible and transparent data preprocessing is essential in scientific research.

Purpose of the Study:

To introduce PupEyes, an open-source Python package for pupil size and fixation data analysis.
To provide researchers with a comprehensive and user-friendly tool for data preprocessing and visualization.
To facilitate reproducible research through standardized workflows and interactive diagnostics.

Main Methods:

PupEyes utilizes the pandas data structure for seamless integration with the Python ecosystem.
It supports data from various eye-trackers (e.g., EyeLink, Tobii) and generic formats.
The package includes interactive tools for data exploration, visualization, and defining areas of interest (AOIs).

Main Results:

PupEyes offers a complete pupil preprocessing pipeline.
Interactive visualizations aid in data exploration and diagnostic checks.
The package enables the computation of AOI-based metrics for detailed analysis.

Conclusions:

PupEyes ensures principled, transparent, and reproducible preprocessing of pupil size data.
It empowers researchers to better understand their data via interactive visualizations.
The package's flexible design allows for extensions tailored to specific research needs.