Pyproject Toml Validatorv1.0.1

Integrate the validator into a GitHub Actions or GitLab CI workflow to automatically check pyproject.toml on every pull request. Use --strict and --format summary for quick pass/fail feedback, ensuring only compliant build configurations are merged.

Before publishing a Python package to PyPI, run the validator in JSON format to catch metadata issues that could cause rejection. This ensures the package adheres to PEP 621 standards, reducing publication delays and user confusion.

For organizations managing multiple Python services in a monorepo, run the validator across all pyproject.toml files to ensure consistent build and tool configurations. This helps maintain uniform coding standards and avoid dependency conflicts.

When migrating from setup.py or setup.cfg to pyproject.toml, use the validator to identify missing or misconfigured sections. The tool rules provide guidance on proper [tool.ruff], [tool.mypy], and other configurations, easing the transition.

In educational settings, use the validator to teach best practices for Python project configuration. Students can run the tool to understand PEP 508 name requirements, dependency pinning, and build-system setup, improving their project quality.

Offer the validator as a free, open-source tool while providing paid consulting, customization, and integration services to enterprises. Revenue comes from support contracts and managed CI/CD setup.

Provide a free CLI tool, but offer a SaaS dashboard that aggregates validation reports across projects, tracks compliance trends, and integrates with popular CI services. Revenue from subscription tiers with advanced analytics and team features.

License the validator's rule engine to other tooling vendors (e.g., IDE plugins, linters, or internal developer platforms) via an API. This allows other companies to embed validation into their products, generating licensing fees.