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v0.1.0 — Initial public release

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@labs-barkley labs-barkley released this 24 May 20:20
· 15 commits to main since this release
v0.1.0
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Release Notes

v0.1.0 — Initial public release (2026-05-24)

First public, source-available release of the Barkley Reference Architecture —
the minimal, runnable computational backbone behind the Barkley research thesis:

A dog can remain normal for its breed while drifting away from its own
behavioral baseline.

What's included

This release demonstrates four research pillars plus the structuring schema,
on fully synthetic data:

  • Individual Baseline / ICF (barkley/individual_baseline.py) — per-dog
    median + scaled-MAD baseline with slow exponential maintenance.
  • Multi-Resolution Temporal Binning (barkley/temporal_binning.py) —
    circadian (Bin A), weekly (Bin B), and quarterly (Bin C) windows, including a
    from-scratch two-sample Kolmogorov–Smirnov distribution-shift test.
  • Rate of Drift / Behavioral Drift (barkley/rate_of_drift.py) — OLS drift
    slope, two-sided CUSUM, and a lightweight BOCPD-BLS baseline-shift detector.
  • Sovereignty of Silence / Missingness (barkley/missingness.py) — the
    Artefactual / Contextual / Informative taxonomy and feature encoding.
  • DogGraph event schema (barkley/schema.py) — the memory and structuring
    layer that ties the pillars into a typed, serialisable behavioral event.

Runnable reference pipeline

examples/run_reference_pipeline.py runs the full pipeline end-to-end on one
synthetic dog and prints a reproducible summary:

events_generated:            309
baseline_window_days:        56
drift_detected:              true
missingness_classified:      true
ks_distribution_shift:       0.564
research_demonstrator_only:  true

Tests

16 tests covering all four pillars and the schema. Runnable two ways:

python tests/test_reference_pipeline.py     # no external dependency
python -m pytest tests/ -v                  # pytest

Requirements

Python 3.10+, numpy, pandas. No GPU, no internet, no external services.

Scope and limitations

  • Fully synthetic data only; no real animal data.
  • All numerical parameters are illustrative research defaults, not validated
    operational thresholds.
  • Research demonstrator only; not diagnostic, not production.
  • This is the minimal backbone; it does not reproduce or expose the full
    Barkley system.

Citation

This release accompanies the Barkley framework paper
(DOI: 10.5281/zenodo.20060327). A separate software DOI will be minted once this
release is archived on Zenodo; CITATION.cff will be updated at that point.

Research demonstrator only. Synthetic data only. Not diagnostic.
labs@getbarkley.com

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