dbt-checkpoint
dbt-checkpoint is a collection of pre-commit hooks designed to enforce quality standards and maintain consistency within dbt projects. As dbt models, sources, and macros grow in complexity, teams often struggle to keep metadata up to date, such as column descriptions and schema definitions. dbt-checkpoint automates these validations to catch errors before code is committed, reducing the burden on code reviewers and preventing unintentional mistakes. Key features include automated checks for missing documentation, schema alignment between SQL files and their corresponding YAML property files, and support for large-scale project management. The tool allows users to specify a custom dbt project root directory via a configuration file, simplifying usage in repositories where dbt projects reside in subdirectories. It also supports global and per-hook exclusion logic for flexible pipeline customization. While dbt-checkpoint includes optional telemetry to help developers prioritize feature development, it explicitly