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GazeSense vs iTrace

GazeSense

eyeware.tech

iTrace

github.com

Side by side

FigureGazeSenseiTrace
Price from$199/moFree
Free plan—Yes
Free trialYes—
Open source——
Web—Yes
WindowsYes—
LinuxYesYes
APIYes—
Self-hosted—Yes
Plans published11
Spec score · Eye Tracking Software8.3 (#4)8.4 (#2)
Accuracy limitThe page states accuracy above 1.5 degrees under ideal conditions and says it can decrease toward screen edges, reaching 5° for calibrated users and 10° for uncalibrated users.The live webcam pupil measurement is a relative proxy and does not infer pupil diameter in millimetres.
CalibrationCalibration options are automatic or 1-, 5-, or 9-point screen calibration.It supports affine screen-space calibration and reports calibration error and gaze-quality measures.
IntegrationsThe maker says GazeSense SDK powers AMD Privacy View and Eyeware Beam.The project lists OpenCV, MediaPipe, FastAPI, Uvicorn, Streamlit, Plotly, and Matplotlib as optional dependencies.
PurposeGazeSense is AI-powered eye-tracking software and an SDK for webcams and 3D sensors.iTrace is a webcam eye-movement analysis toolkit for gaze, saccades, microsaccades, and pupil measurements.

Plans

GazeSense

  • 1-Month License$199 a month

GazeSense pricing →

iTrace

  • iTrace (MIT-licensed open-source software)Free

iTrace pricing →

In their own words

GazeSense

GazeSense has no write-up on Specifiction yet; its figures are above.

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iTrace

iTrace is a free, MIT-licensed toolkit for analyzing webcam eye-tracking data, with a scientific core built on NumPy and SciPy. It computes gaze in degrees of visual angle and detects fixations, saccades, and microsaccades using I-VT, I-DT, and Engbert–Kliegl methods. Pupil tools include blink detection and interpolation, preprocessing, and eye-crop segmentation measured in pixels or relative to iris size. Affine screen-space calibration reports calibration error and gaze-quality measures. The command-line tool analyzes gaze CSV files and exports JSON reports. Optional webcam capture uses OpenCV and MediaPipe, and optional interfaces include a local HTML app using FastAPI and WebSockets and a Streamlit dashboard. Live workflows can export derived gaze, pupil, and capture CSVs. By default, the workflow does not save raw eye video or persisted eye-crop images, though live viewing may send a temporary JPEG crop to a browser over a local WebSocket. The project says its checks use synthetic ground truth rather than real eye-tracking data or a reference device. Webcam pupil size is a relative proxy, not a measurement in millimetres.

Visit github.com