factcircuit
FactCircuit는 불변 출처와 단계별 검증, 제한된 검색, 재현 가능한 평가를 제공하는 감사 가능한 주장·증거 검증 루프입니다
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.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Rocky compiles SQL models, reports supported static problems, and helps you review changes before execution.
Rocky works with Databricks, Snowflake, BigQuery, and DuckDB. You keep your warehouse and your existing SQL. Apache 2.0.
The failures that cost the most are the quiet ones. A source column can change
type. Someone can rename a column and break downstream models. Rocky reports
type and contract problems when the available SQL, schemas, and configuration
make them visible. A clean compile does not prove every query will run in a
warehouse or produce correct values.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
Rocky compiles SQL models, reports supported static problems, and helps you review changes before execution.
Rocky works with Databricks, Snowflake, BigQuery, and DuckDB. You keep your warehouse and your existing SQL. Apache 2.0.
The failures that cost the most are the quiet ones. A source column can change
type. Someone can rename a column and break downstream models. Rocky reports
type and contract problems when the available SQL, schemas, and configuration
make them visible. A clean compile does not prove every query will run in a
warehouse or produce correct values.README 전문 보기 ↗