Data as of Oct 20, 2026Based on 21,356 AI responses
Reviewed by Dimitry Apollonsky
dbt-checkpoint, by Datacoves, provides pre-commit hooks that enforce quality standards for dbt projects, catching mistakes before code is committed. It is part of a managed DataOps platform for dbt and Airflow offering governance, guardrails, and AI-assisted development, with deployment options on private cloud or SaaS and easy integration with existing stacks. By automating validations across models, sources, and macros, it reduces reviewer workload and helps ensure consistent metadata and descriptions throughout the project.
Hosted on GitHub
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across dbt-checkpoint’s markets · since Jul 5
Each engine’s share of its own answers across dbt-checkpoint’s markets · since Jul 5