python-packaging

To set up pyproject.toml for a Python library release, define clear build metadata, explicit dependency scopes, and entry points. This ensures reproducible builds and predictable upgrades across local development and CI workflows.

Separating runtime and development dependencies in Python packaging requires defining explicit dependency scopes within your build metadata. This approach guarantees predictable release artefacts and clean local development environments.

Python packaging guidance differs for CLI tools versus internal applications by evaluating project layout, dependency scope, and entry points against specific criteria. This ensures appropriate distribution choices and reproducible builds for each context.

You need to audit your Python project structure before release to identify packaging gaps in layout, metadata, and dependency strategies. This process satisfies release readiness requirements and supports predictable upgrade planning.

To evaluate packaging metadata completeness for a Python application, audit the project layout and pyproject.toml configuration. This verifies explicit dependency scopes and validates release readiness for internal tooling.

You should not use a minimal pyproject.toml when preparing complex libraries or CLI tools for public release, as incomplete build metadata limits predictable upgrades. Comprehensive dependency scopes and entry points are required for strict release readiness.