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A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
This project is used for tracking lineage when using spark. Our team is aimed at enhancing the ability of column relation during logical plan analysis.
Column-level lineage for dbt models — parses manifest.json/catalog.json with sqlglot and renders an interactive graph in the browser (FastAPI + Next.js).