dbt-core

This extension makes vscode seamlessly work with dbt™: Auto-complete, preview, column lineage, AI docs generation, health checks, cost estimation etc

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• JavaScript

Generate the ERD as a code from dbt artifacts

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• Python

Make dbt great again! Extend dbt with plugins, local docs and custom adapters — fast, safe, and developer-friendly

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• Python

Linter for dbt metadata

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• Python

A dbt-core plugin to weave together multi-project dbt-core deployments

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• Python

A dbt-core python package that automates the management and creation of dbt groups, contracts, access, and versions.

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• Python

A portable Datamart and Business Intelligence suite built with Docker, sqlmesh + dbtcore, DuckDB and Superset

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• Dockerfile

Datailot-cli is the command line interface for accessing the AI teammate for engineers to ensure best practices in their SQL and dbt projects.

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• Python

The dbt-toolkit is an early-stage plugin designed to enhance your experience working with dbt-core projects in JetBrains IDEs.

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• Kotlin

Scalable OLAP system for credit card transaction analysis, leveraging AWS S3, Databricks, and dbt. Features end-to-end batch processing pipeline, medallion architecture, and interactive fraud detection dashboards. Demonstrates expertise in cloud-based data engineering and advanced analytical modeling for financial data.

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• Jupyter Notebook

The warehouse-native LLM evaluation package for dbt™ - monitor AI quality without data egress

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• Python

learning-by-doing data model built with dbt-core

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• Python

dbt Core MCP Server: Interact with dbt projects via Model Context Protocol

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• Python

Distributed run of dbt models using Airflow

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• Python

A production-grade data pipeline that ingests, transforms, and analyzes 5.3+ million rows of daily U.S. equity market data, focusing on Russell 3000 constituents.

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• Python

A command-line tool which helps to manage DBT projects.

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• Python

An open-source tool that partially automates the migration of dbt packages to Dataform

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• Python

dbt lineage analysis CLI that parses SQL files directly, written in Rust. No dbt compile, no manifest.json. Designed for AI agents and CI pipelines.

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• Rust

Improving DX for Analytics Engineers

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• Go

Learn how to load data, create data models, add data quality tests and documentation using dbt Core with Snowflake

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• Makefile