💡 Pick it for a better-documented, open-source browser eye-tracking library.
WebGazer.js is a JavaScript library that enables eye tracking on a web page using a webcam. It allows for gaze estimation on...
Best EyeJS Alternatives ranked by AI · updated Aug 2026
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EyeJS is a JavaScript library for adding webcam-based eye tracking to browser applications. It is intended for developers building gaze-aware interfaces, experiments, and accessibility features, with client-side tracking and calibration.
Top 6 EyeJS alternatives
2
GazeCloudAPI
GazeRecorder
💡 Pick it when you want hosted gaze tracking with less computer-vision code.
GazeCloudAPI provides webcam-based eye tracking through a browser JavaScript API. It targets developers who want to add gaze estimation to websites, usability...
Pros
- Provides a hosted API that reduces computer-vision implementation work
- Supports browser-based webcam eye tracking
- Faster to integrate than building a tracker from raw landmarks
Cons
- Depends on a third-party service and network connection
- Less control over the tracking pipeline than a local library
- Pricing and usage limits may be less predictable than open source
Freemium, paid plans vary
💡 Pick it for managed remote eye-tracking studies instead of building research tooling yourself.
RealEye is a software tool that helps in analyzing and optimizing user experience by tracking eye movements on websites or applications.
Starting from $49/month
💡 Pick it when you need recorded gaze sessions and visual reports, not just a tracking API.
GazeRecorder is a webcam-based eye-tracking platform for recording and analyzing visual attention during web sessions. It is intended for usability researchers, marketers,...
Pros
- Provides recording and visualization tools out of the box
- Better fit for usability and attention studies than application development
- Works with ordinary webcams
Cons
- Not as flexible as a client-side library for custom interfaces
- Accuracy is below dedicated eye-tracking hardware
- Hosted workflows may raise privacy and data-retention concerns
Freemium, paid plans available
5
Google
MediaPipe
💡 Pick it when you need low-level landmarks and want to build a custom gaze pipeline.
MediaPipe is an open-source framework for building cross-platform perception pipelines, including hand, face, pose, and object detection applications. It provides reusable tasks...
Pros
- Higher-level ready-made solutions for face, hand, and pose tracking than FastCV
- Supports Android, iOS, web, desktop, and Python development
- Good choice for rapid prototyping of real-time perception features
Cons
- Less suited to low-level image-processing primitives than FastCV
- Prebuilt solutions can be harder to customize deeply
- Model quality and performance vary by task and target device
Free, open source
💡 Pick it for maximum ML flexibility when a ready-made eye-tracking library is too limiting.
A library for machine learning in JavaScript, with the capability of training and deploying models in the browser or on Node.js.
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