Grai

About Grai

A data catalog tool that integrates into your CI system to prevent data quality issues before they reach production. Grai maps data lineage across your stack and automatically tests the impact of schema changes on downstream consumers.

Key Features

• 1Open-source data lineage platform that integrates with the existing data stack
• 2Automatic lineage extraction from dbt, Airflow, PostgreSQL, and Snowflake
• 3Column-level lineage tracking for impact analysis on schema changes
• 4Python SDK for custom metadata ingestion and lineage registration
• 5GitHub Action integration for CI-based lineage validation

How Python Data Engineers Use Grai

Python data engineers use Grai's Python client to register custom data assets and their relationships in the lineage graph. The GitHub Action integration runs impact analysis on pull requests — when a dbt model or database column changes, Grai reports which downstream Python pipelines, dashboards, or ML features depend on it before the change is merged.