Demo examples for the Venturalitica SDK.
⚡ Zero to Governance Report in 60 seconds.
# Install SDK
pip install venturalitica
# Clone samples
git clone https://github.com/venturalitica/venturalitica-sdk-samples.git
cd venturalitica-sdk-samples/scenarios/loan-mlflow-sklearn
# Install dependencies
uv sync
# Run your first audit
uv run python 00_minimal.ipynbThis repo contains a single, well-documented scenario: Loan Approval Fairness.
| Level | File | Focus | Time |
|---|---|---|---|
| 00 | 00_minimal.ipynb |
First audit in 60 seconds | 2 min |
| 01 | 01_governance_audit.ipynb |
Full ML training with audits | 10 min |
| 02 | 02_mlops_tracking.py |
MLflow integration | 20 min |
| 03 | 03_production_pipeline.py |
Production-ready pipeline | 45 min |
After completing the loan scenario:
- ✅ Detect historical bias in credit approval data
- ✅ Measure Demographic Parity and Equal Opportunity
- ✅ Generate EU AI Act-compliant audit reports
- ✅ Integrate governance into MLflow experiments
Looking for more examples? Check out:
➡️ venturalitica-sdk-samples-extra
Advanced scenarios for Healthcare, Computer Vision, and LLM auditing.
venturalitica-sdk-samples/
├── datasets/ ← UCI German Credit dataset
├── policies/ ← OSCAL governance policies
└── scenarios/
└── loan-mlflow-sklearn/ ← The canonical demo
Governance policies map to:
- EU AI Act (Articles 9-15)
- NIST AI RMF
- ISO/IEC 42001
Last Updated: January 2026 | SDK Version: 0.1