fmind / cookiecutter-mlops-package

What it does

• One task vocabulary. mise defines install, format, check, test, build, and the all gate. Git hooks, CI, and you run the exact same commands — there is no second definition to keep in sync.
• Fast, single-tool Python stack. uv for dependencies and packaging, Ruff for linting and formatting (its S/bandit rules replace a separate security linter), and ty for type checking.
• Security in the gate, not beside it. pip-audit for dependency CVEs, gitleaks for secrets, Trivy for the whole checkout, hadolint for the image, and actionlint + zizmor for the workflows.
• Tested by generation, not by inspection. mise run test bakes a real project into a temporary directory and runs that project's own gate — format, check, test, build, docs, Docker image, and MLflow Projects CLI invocations.
• MLflow on a real store. tracking and the model registry use a SQLite database (sqlite:///mlflow.db), the SQLAlchemy backend MLflow 3 defaults to and a supported local database store for tracking and registry metadata.