eyekit 0.3.11

A Python package for analyzing reading behavior using eyetracking data

Eyekit is a Python package for analyzing reading behavior using eyetracking data. Eyekit aims to be entirely independent of any particular eyetracker hardware, presentation software, or data formats. It has an object-oriented style that defines two core objects – the TextBlock and the FixationSequence – that you bring into contact with a bit of coding. Eyekit is currently in the alpha stage of development and is licensed under the terms of the MIT License.

Is Eyekit the Right Tool for Me?

• You want to analyze which parts of a text someone is looking at and for how long.

• You are mostly interested in fixations, as opposed to, for example, saccades, blinks, or millisecond-by-millisecond eye movements.

• You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations.

• You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts.

• You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline.

• You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria.

• You want to share your data in an open format and produce publication-ready vector graphics.

Installation

Eyekit can be installed using pip:

$ pip install eyekit

Eyekit is compatible with Python 3.6+ and has two dependencies:

• NumPy
• Cairocffi

Cairocffi is a Python wrapper around the graphics library Cairo, which you will also need to install if you don't already have it on your system. Many Linux distributions have Cairo built in. On a Mac, it can be installed using Homebrew: brew install cairo. On Windows, your best bet might be Anaconda.

Full documentation and a usage guide is available here