🧙 Build, run, and manage data pipelines for integrating and transforming data.

Compare tables within or across databases

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Efficient data transformation and modeling framework that is backwards compatible with dbt.

dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org)

do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code

🎣 List of `pre-commit` hooks to ensure the quality of your `dbt` projects.

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

Code review for data in dbt

dbt + Metabase integration

Provides automated YAML management, a dbt server, streamlit workbench, and git-integrated dbt model output diff tools

sqlfmt formats your dbt SQL files so you don't have to

Apache Airflow integration for dbt

dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

Example DAGs using hooks and operators from Airflow Plugins

The Clickhouse plugin for dbt (data build tool)

🎨 UI for the Free Data Engineering Zoomcamp Course provided by DataTalksClub

CLI tool for dbt users to simplify creation of staging models (yml and sql) files