Fred vs iTrace
Fred
meet-fred.comiTrace
github.comSide by side
| Figure | Fred | iTrace |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Eye Tracking Software | 7.3 (#19) | 8.4 (#2) |
| Integrations | Fred's security page links to a sub-processor list covering providers for hosting, security, payments, authentication, analytics, monitoring, support, and integrations. | The project lists OpenCV, MediaPipe, FastAPI, Uvicorn, Streamlit, Plotly, and Matplotlib as optional dependencies. |
Plans
Fred
- EnterprisePriced on request
- ResearcherPrice not published
- StartupPrice not published
- TeamPrice not published
In their own words
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.