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Featured workflow map

eyeprocesspy carries a large article library because the package spans several research layers. This page is a practical map: choose the scientific question first, then enter the relevant workflow family.

Data ingestion and canonicalization

Use these workflows when the primary problem is getting heterogeneous exports into a defensible analysis state.

  • Vendor/generic import and canonical interfaces
  • Gazepoint real-export and workflow validation
  • Coordinate-space registration and conversion
  • Timebase/event alignment and file pairing
  • Partitioned/interoperable storage
  • Provenance and schema validation

Start with: API lifecycle and canonical interfaces.

Gaze, AOIs and process features

Use these workflows for fixation/saccade summaries, dwell, scanpaths, transitions, recurrence and AOI uncertainty.

  • Preprocessing and feature extraction
  • Scanpath sequence and transition models
  • Probabilistic AOIs under calibration uncertainty
  • Compositional AOI representations
  • Process dynamics and contextual structure
  • Presentation sensitivity and negative controls

Visual entry point: Visual gallery.

Pupillometry and multimodal process measurement

Use these workflows for baseline correction, functional pupil representations, missingness, synchronized process streams and staged multimodal analysis.

  • Pupil preprocessing and missingness
  • Functional pupil modeling
  • Multimodal staged workflows
  • Quality, clock and sampling audits
  • Process reliability and calibration uncertainty

Start with: Calibration uncertainty and data quality.

Psychometrics and IRT

Use these workflows when behavioral/process features become inputs to an explicit measurement model.

  • IRT foundations and diagnostics
  • Process-informed IRT
  • Dynamic and advanced process IRT
  • Bayesian/3PL diagnostics
  • DIF, score uncertainty and adaptive traces
  • Cognitive-diagnosis and multidimensional extensions

Start with: Bayesian and 3PL process diagnostics.

Validation and robustness

Use these workflows before trusting a new estimator, feature family, or measurement claim.

  • Simulation/recovery
  • SBC-style evidence
  • Stress testing
  • Negative controls
  • Grouped/leakage-aware validation
  • Validation atlases and evidence programs
  • Robustness and freeze artifacts

Start with: Advanced model validation.

Reproducibility and software evidence

Use these workflows when preparing a manuscript, package release, methods appendix, or computational audit.

  • Deterministic benchmark reproduction
  • Provenance manifests
  • Software-paper evidence
  • Release validation
  • Frozen-R parity evidence
  • Documentation and API audits

Start with: Benchmark reproduction.

Measurement intelligence

Use these workflows for higher-level measurement-system questions rather than raw gaze description.

  • Process-measure registry and guardrails
  • Reliability profiles
  • Cross-device linking
  • Calibration uncertainty
  • Fairness/DIF drift
  • Norms and item-bank optimization
  • Measurement-intelligence utilities

These methods are intentionally accompanied by interpretive guardrails: operational usefulness, predictive performance and reliability are not substitutes for construct validation.