Explore GazeForge

GazeForge has detailed scientific reference material, but researchers normally arrive with a task, not a module name. This page is the shortest route into the documentation.

Understand a methodological decisionRead compact articles about QC, missingness, AI assistance, validation design, and evidence boundaries.

Run somethingChoose from the repository's 22 Python workflows and continue into the matching methodological guide.

See the outputBrowse diagnostics, scanpaths, benchmark plots, and methodological diagrams with interpretation limits beside them.

Follow a complete workflowMove from source identity through QC, review, events, AOIs, analysis handoff, validation, and reporting.

Solve a specific problemTask-oriented guides connect research questions to methods, examples, outputs, limitations, and APIs.

Look up an APIDrop into exact interfaces after the scientific assumptions and evidence boundary are clear.

Core research lifecycle

The workflow is deliberately staged. Import compatibility is not measurement validity; QC evidence is not an exclusion decision; a learned prediction is not ground truth; reproducibility is not external validity.

Recommended first routes

Your situation	Start here	Continue to
New to GazeForge	GazeForge tour	First study blueprint
Real tracker export	Worked tracker import	QC review ledger
Event detection	I-VT tutorial	Event-model validation
Moving stimulus	Worked dynamic-AOI study	Dynamic AOI evaluation
Statistical handoff	Analysis handoff	Grouping/repeated measures
Manuscript preparation	Reporting clinic	Publication readiness
Validation claim	Validation guide	Evidence status