Model Governance Python Packages

compileml

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

decishift

Open-source ML behavioral regression testing for comparing decision-system versions, identifying changed actions, attributing shifts, and gating releases with Decision Contracts.

omega-lock

Catch overfitting before you ship it: a walk-forward / held-out gate for any optimizer (Optuna, sweeps, prompt search). The highest score isn't deployable until it survives data it never saw. CLI + Python.

model-ledger

Open-source model inventory & governance. Discovers every model, rule, and pipeline across all your platforms as one immutable, agent-queryable graph — git for models.

gp3mlpy

Governance-first, leakage-resistant predictive modelling for Gazepoint research workflows in Python.

covenants

pytest for credit-model governance: test a credit model's documented claims (reason codes, monotonicity, features, exclusions) in CI.

tanml

Automated validation toolkit for tabular ML models in finance and regulated domains.

aicertify

Compliance-as-code for AI systems: evaluate AI apps against EU AI Act, NIST AI RMF, and OPA/Rego policies.

spar-framework

SPAR (Sovereign Physics Autonomous Review) - Claim-aware review framework for systems whose outputs can pass while their claims drift.

insurance-governance

Model governance for insurance pricing — PRA SS1/23 validation reports, model risk management, risk tier scoring

regaudit-fhe

Depth-tracked regulatory audit primitives for privacy-preserving AI audits with signed envelopes and TenSEAL CKKS support.

merriv

Vendor-neutral release evidence for deployable AI models.

finreg-ml

Regulation-aware ML pipeline for finance — explainability, fairness audits, and EU AI Act compliance built into model training