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This page lists Python packages and reproducible research tools developed for eye-tracking, behavioural data analysis, and transparent research workflows.
A Python implementation of the public workflow of gp3tools, the R package for importing, inspecting, analysing, visualising, modelling, and reporting Gazepoint GP3 / Gazepoint Analysis exports.
Scientific Python infrastructure for Gazepoint EDA/SCR, PPG/HRV, pupil, gaze, AOI, QC and multimodal psychophysiology.
Transparent, reproducible sequence analysis in Python. Audit ordered categorical data, discover recurring structure, compare trajectories, model transitions and latent states, test group differences, and report every analytical choice.
Contract-first Bayesian workflows for hierarchical behavioural data, posterior validation, predictive diagnostics, sensitivity analysis, PSIS-LOO, reproducibility, and dynamic pupillometry.
Governance-first, leakage-resistant predictive modelling for Gazepoint research workflows in Python.