Metadata-Version: 2.1
Name: dbt
Version: 2.0.3
Summary: Build analytics the way engineers build applications
Requires-Python: >=3.11
Requires-Dist: mashumaro[msgpack]>=3.14
Classifier: Programming Language :: Rust
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Project-URL: Homepage, https://getdbt.com
Author-email: dbt Labs <info@dbtlabs.com>
Description-Content-Type: text/markdown

# dbt

> **Note:** v2 of the dbt engine is now available, and ships as two distributions:
>
> - `pip install dbt` (recommended) - installs the default distribution with the full feature set
> - `pip install dbt-oss` - installs the subset distribution, with only Apache 2 open source code
>
> With v2, you no longer need to install adapters separately, so you can remove `pip install dbt-<adapter>` from your installation. [See the install docs](https://docs.getdbt.com/docs/local/install-dbt?utm_source=dbt-cli) to get started.

**[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.

## 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 as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).

## Getting started

- [Install dbt](https://docs.getdbt.com/docs/installation)
- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)

## Join the dbt Community

- Be part of the conversation in the [dbt Community Slack](http://community.getdbt.com/)
- Read more on the [dbt Community Discourse](https://discourse.getdbt.com)
