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.

Agentic & No-Code Data Transformations

Build Python data transformation pipelines with a visual IDE and AI assistant

Lightweight SQL templating & orchestration tool with a Rust core — DAG-based dependency resolution, parallel execution, and multi-engine support (DuckDB, Trino, PostgreSQL, MySQL).

SQL & Python data transformation framework for ETL pipelines (DuckDB, Postgres, BigQuery, Databricks, Snowflake)

Analytics engineering for Postgres & Supabase — Dataform-style SQL workflows (SQLX, refs, assertions, incremental tables, materialized views).

Analytics engineering for Supabase in ~5 min — a ready-to-run SQLAnvil starter (derived tables, incremental rollups, materialized views, assertions, scheduled runs).