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Welcome to GazePlotter Guide & Docs

GazePlotter is a free web application for eye-tracking data analysis and visualization. Built with a commitment to open science, GazePlotter transforms complex gaze data into intuitive, interactive visualizations without requiring registration, subscriptions, or server uploads.

Whether you're a researcher analyzing attention patterns, a student learning about eye-tracking methodology, or a professional presenting gaze data insights, GazePlotter provides tools that work entirely in your browser without installing any other software.

Analysis Suite

Multiple Visualization Types

  • Scarf Plots - Interactive timeline visualizations showing gaze sequences and patterns over time
  • Bar Plots - Statistical analysis with metrics like dwell time, fixation count, and time to first fixation
  • Transition Matrices - Heat map visualizations of gaze movement patterns between Areas of Interest

Universal Data Compatibility

GazePlotter supports data from all major eye-tracking platforms:

  • Tobii Pro Lab - Full feature support with dynamic AOI visibility
  • SMI BeGaze - Complete compatibility including overlapping AOI handling
  • OGAMA - Sequence analysis support
  • GazePoint - Direct data import
  • Varjo - VR/AR eye-tracking data
  • Custom CSV - Flexible format for any eye-tracker

Advanced Features

Privacy & Accessibility

  • Complete Privacy - All processing happens locally in your browser; no data ever leaves your device
  • No Registration - Start analyzing immediately without accounts or sign-ups
  • Progressive Web App - Install as desktop app or use directly in browser
  • Cross-Platform - Works on Windows, Mac, Linux, and mobile devices
  • Offline Capable - Continue working without internet connection

Getting Started

Ready to visualize your eye-tracking data? Choose your path:

Open Source & Community

GazePlotter is open-source software licensed under GNU GPL v3, ensuring it remains free and transparent forever.

Contribute & Support:

Academic Use: If you use GazePlotter in your research, please consider citing our work to support continued development and help other researchers discover this tool.


Developed by Michaela Vojtěchovská and Stanislav Popelka at the Department of Geoinformatics, Palacký University Olomouc