dbt-score: a linter for your dbt model metadata
summary
dbt-score is an open source linter that scores dbt model metadata, written in Python and already applied to a repo with 130,000 lines of YAML. It runs locally or in CI without hitting the warehouse, emits human and JSON results, adds badges to the dbt catalog, and lets teams write custom Python rules via a decorator to flag issues. Configuration supports rule severity and a CI fail threshold so builds can be rejected.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:51Linting DBT metadata matters
- 3:57What is DBT
- 9:36Inconsistent DBT metadata
- 13:39Introducing dbt-score
- 14:21Installing dbt-score
- 17:53Custom rules for dbt-score
- 21:50Enhancing DBT catalog
- 22:13Project links
- 22:54Q&A
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