Python-native guides¶
The frozen article corpus preserves the scientific workflow context of the R 0.11.1 reference. These guides provide the complementary Python-first route: start from a research problem and compose current eyeprocesspy functions into a complete workflow.
End-to-end eye-tracking¶
Import, validate, audit, derive process structure, visualize, and preserve provenance.
Gazepoint import & QC¶
Vendor detection, gaze/fixation/event/biometric files, pairing, combined imports, and QC.
Pupillometry¶
Canonical pupil streams, baseline/missingness decisions, functional representations, and reporting.
Process quality & uncertainty¶
Reliability, Bland–Altman evidence, sampling irregularity, calibration error, and probabilistic AOIs.
Psychometrics & IRT¶
Information, fit, DIF, process-informed measurement, score uncertainty, and validation evidence.
Reproducibility & release evidence¶
Benchmarks, provenance, manifests, validation evidence, frozen-R checks, and distribution verification.
For compact copy-paste workflows, use Runnable examples. For exact source-port context, use the 88-article library. For visual discovery, use the plot gallery.