Awesome Duckdb

Python SQL Parser and Transpiler

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Integrates DuckDB with Google BigQuery, allowing direct querying and management of BigQuery datasets

The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

A DuckDB extension to read data directly from databases supporting the ODBC interface

Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB compatible SQL (with deep transformation of functions, data types and format characters) using Java.

A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.

YAML-based data pipeline framework that runs both locally and fully in-browser designed for data engineers, ML teams, and SaaS developers who need flexible, SQL-powered pipelines.