dbt-packages

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.

re_data - fix data issues before your users & CEO would discover them 😊

Supplementary Materials for the The Complete dbt (Data Build Tool) Bootcamp Udemy course

This package contains native dbt checks to report and fix issues in your dbt project

This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.

Metrics Observability & Troubleshooting

Main repo including core data model, data marts, data quality tests, and terminology sets.

Fivetran's ad reporting dbt package. Combine your Facebook, Google, Pinterest, LinkedIn, Twitter, Snapchat, Microsoft, TikTok, Reddit, Amazon, and Apple Search advertising metrics using this package.

Scalefree's dbt package for a Data Vault 2 implementation congruent to the original Data Vault 2 definition by Dan Linstedt including the Staging Area, DV2 main entities, PITs and Snapshot Tables.

A dbt SQL package for ensuring documentation and test coverage, with granular control.

AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.

Add data profiling to your dbt project.

re_data - fix data issues before your users & CEO would discover them 😊

Fivetran's Shopify dbt package

Open-source, self-hosted dbt control plane for data lineage, orchestration, and catalog management. Built for local, on-prem, and air-gapped deployments.

Data models for Stripe built using dbt.

Data models for Fivetran's Netsuite connector, built using dbt.

Fivetran's Salesforce dbt package

Fivetran data models for Facebook Ads built using dbt.

A dbt package for easily using production data in a development environment.