Metadata-Version: 2.1
Name: dbt-score
Version: 0.2.0
Summary: Linter for dbt model metadata.
Author-Email: Picnic Analyst Development Platform <analyst-development-platform@teampicnic.com>
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: dbt-core>=1.5
Requires-Dist: click<9.0.0,>=7.1.1
Requires-Dist: tomli>=1.1.0; python_version < "3.11"
Description-Content-Type: text/markdown

# dbt-score

[![CI](https://github.com/PicnicSupermarket/dbt-score/actions/workflows/ci.yml/badge.svg)](https://github.com/PicnicSupermarket/dbt-score/actions)
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[![PyPI license](https://img.shields.io/pypi/l/dbt-score.svg)](https://pypi.python.org/pypi/dbt-score/)
[![Docs](https://img.shields.io/badge/Docs-mkdocs-blue)](https://dbt-score.picnic.tech/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbt-score.svg)](https://pypi.org/project/dbt-score)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://makeapullrequest.com)

![dbt-score-output](images/dbt-score-output.png)

## What is `dbt-score`?

`dbt-score` is a linter for dbt model metadata.

[dbt][dbt] (Data Build Tool) is a great framework for creating, building,
organizing, testing and documenting _data models_, i.e. data sets living in a
database or a data warehouse. Through a declarative approach, it allows data
practitioners to build data with a methodology inspired by software development
practices.

This leads to data models being bundled with a lot of metadata, such as
documentation, data tests, access control information, column types and
constraints, 3rd party integrations... Not to mention any other metadata that
organizations need, fully supported through the `meta` parameter.

At scale, with hundreds or thousands of data models, all this metadata can
become confusing, disparate, and inconsistent. It's hard to enforce good
practices and maintain them in continuous integration systems. This is
where`dbt-score` plays its role: by allowing data teams to programmatically
define and enforce metadata rules, in an easy and scalable manner.

## Documentation

Everything you need (and more) can be found in [`dbt-score` documentation
website][dbt-score].

## Contributing

Would you like to contribute to `dbt-score`? That's great news! Please follow
[the guide on the documentation website][contributors-guide]. 🚀

[dbt]: https://github.com/dbt-labs/dbt-core
[dbt-score]: https://dbt-score.picnic.tech/
[contributors-guide]: https://dbt-score.picnic.tech/contributors_guide
