---
id: dbt-core
version: "1.12.2"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# dbt-core — With dbt, data analysts and engineers can build analytics the way engineers build applications.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install dbt-core
uv add dbt-core
poetry add dbt-core

## Description

<p align="center">
  <img src="https://raw.githubusercontent.com/dbt-labs/dbt-core/fa1ea14ddfb1d5ae319d5141844910dd53ab2834/docs/images/dbt-core.svg" alt="dbt logo" width="750"/>
</p>
<p align="center">
  <a href="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml">
    <img src="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml/badge.svg?event=push" alt="CI Badge"/>
  </a>
</p>

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

![architecture](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/docs/images/dbt-arch.png)

## Understanding dbt

Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.

These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well...

## AI interpretation — verify before relying

dbt-core is a command-line tool that enables data analysts and engineers to transform data in warehouses using SQL select statements organized as models, with built-in dependency management, documentation, and testing capabilities.

Verdict: dbt-core is a mature, actively maintained analytics engineering framework with no known vulnerabilities, broad Python version support (3.10–3.14), and permissive licensing. Its 25 runtime dependencies and low install friction make it production-ready for data transformation pipelines.

[View on SkillFed](https://skillfed.io/packages/dbt-core) · [View on PyPI](https://pypi.org/project/dbt-core/)