PyGaze
PyGaze: A free, flexible library for developers building custom gaze experiments in Python. Ranked #10 of 27 in Eye Tracking Software by our editors (8.1/10); pricing: Free plan; best for developers building gaze experiments in Python.
At a glance
- Editor score8.1 / 10
- PricingFree plan
- Best forDevelopers building gaze experiments in Python
- Free planYes
- Paid fromFree
- Input methodHybrid
- Facts checked22 Sep 2026
Where it wins
- Free and open source across Windows, macOS, and Linux
- Common interface for EyeLink, SMI/iViewX, Tobii, and dummy tracking
- Supports calibration, event detection, stimulus presentation, and logging
Where it doesn't
- Requires Python development rather than no-code study creation
- Not a complete visual analysis suite
- Custom experiments require implementation and configuration
Our verdict on PyGaze
PyGaze is an open-source Python toolbox for researchers and developers creating gaze-contingent or non-gaze-contingent eye-tracking experiments. It provides a programming interface for supported hardware, experiment display utilities, calibration, gaze sampling, event detection, pupil-size retrieval, and experiment logging. The library supports Windows, macOS, and Linux, and can also run with a dummy mouse-based tracker for development scenarios.
As a free and open-source project, PyGaze avoids a paid plan structure and focuses its value on programmable experiment control. Its common interface connects EyeLink, SMI/iViewX, and Tobii systems, allowing developers to work across major tracker integrations through one library. PsychoPy and PyGame support covers stimulus presentation, while calibration, validation, fixation-triggered drift correction, online fixation detection, and online saccade detection address key parts of a live study workflow.
PyGaze is most suitable when a research team needs control over experiment logic and is comfortable working in Python. It is less suitable for teams seeking no-code study creation, a hosted platform, or a broad visual analysis environment. The product's scope is concentrated on building and running experiments, collecting gaze data, and logging results rather than providing a complete suite for gaze visualization and export workflows. Choose PyGaze for a customizable development library that brings multiple trackers and experiment components together; choose an alternative when analysis and reporting are the primary requirements.
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PyGaze pricing
PyGaze fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Input method | Hybrid |
| Study mode | Live |
| Participant limit | Not verified |
| Gaze visualizations | Not verified |
| Export formats | Not verified |
| Supported platforms | Windows, Linux, macOS |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: EyeLink, SMI/iViewX, Tobii |
| Pricing | Free plan |
| Website | pygaze.org |
| Facts checked | 22 Sep 2026 |
PyGaze integrations
PyGaze lists 3 integrations on its own site.
- EyeLink
- SMI/iViewX
- Tobii
Alternatives to PyGaze
- Tobii Pro LabA broad Windows toolkit for designing, recording, analyzing, and exporting eye-tracking research.9.4
- SR Research Data ViewerA deep EyeLink analysis workspace for research teams on Windows, macOS, or Linux.9.1
- LabvancedA flexible choice for affordable remote and in-lab eye-tracking studies.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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