{"id":13703026,"url":"https://github.com/PicnicSupermarket/dbt-score","last_synced_at":"2025-05-05T07:30:31.866Z","repository":{"id":243186729,"uuid":"756878861","full_name":"PicnicSupermarket/dbt-score","owner":"PicnicSupermarket","description":"Linter for dbt metadata","archived":false,"fork":false,"pushed_at":"2025-04-04T10:03:13.000Z","size":856,"stargazers_count":142,"open_issues_count":8,"forks_count":12,"subscribers_count":35,"default_branch":"master","last_synced_at":"2025-04-19T03:10:54.643Z","etag":null,"topics":["dbt","dbt-core","linter","metadata","python"],"latest_commit_sha":null,"homepage":"https://dbt-score.picnic.tech","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/PicnicSupermarket.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"docs/contributing.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-02-13T13:42:50.000Z","updated_at":"2025-04-08T14:33:43.000Z","dependencies_parsed_at":"2024-06-07T08:25:16.962Z","dependency_job_id":"52886ec3-75c0-446c-996b-364277ddc437","html_url":"https://github.com/PicnicSupermarket/dbt-score","commit_stats":null,"previous_names":["picnicsupermarket/dbt-score"],"tags_count":15,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PicnicSupermarket%2Fdbt-score","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PicnicSupermarket%2Fdbt-score/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PicnicSupermarket%2Fdbt-score/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PicnicSupermarket%2Fdbt-score/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PicnicSupermarket","download_url":"https://codeload.github.com/PicnicSupermarket/dbt-score/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252458316,"owners_count":21751014,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dbt","dbt-core","linter","metadata","python"],"created_at":"2024-08-02T21:00:49.176Z","updated_at":"2025-05-05T07:30:31.296Z","avatar_url":"https://github.com/PicnicSupermarket.png","language":"Python","funding_links":[],"categories":["Utilities"],"sub_categories":[],"readme":"# dbt-score\n\n[![CI](https://github.com/PicnicSupermarket/dbt-score/actions/workflows/ci.yml/badge.svg)](https://github.com/PicnicSupermarket/dbt-score/actions)\n[![PyPI version](https://img.shields.io/pypi/v/dbt-score.svg)](https://pypi.python.org/pypi/dbt-score/)\n[![PyPI license](https://img.shields.io/pypi/l/dbt-score.svg)](https://pypi.python.org/pypi/dbt-score/)\n[![Docs](https://img.shields.io/badge/Docs-mkdocs-blue)](https://dbt-score.picnic.tech/)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbt-score.svg)](https://pypi.org/project/dbt-score)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://makeapullrequest.com)\n\n![dbt-score-output](images/dbt-score-output.png)\n\n## What is `dbt-score`?\n\n`dbt-score` is a linter for dbt metadata.\n\n[dbt][dbt] (Data Build Tool) is a great framework for creating, building,\norganizing, testing and documenting _data models_, i.e. data sets living in a\ndatabase or a data warehouse. Through a declarative approach, it allows data\npractitioners to build data with a methodology inspired by software development\npractices.\n\nThis leads to data models being bundled with a lot of metadata, such as\ndocumentation, data tests, access control information, column types and\nconstraints, 3rd party integrations... Not to mention any other metadata that\norganizations need, fully supported through the `meta` parameter.\n\nAt scale, with hundreds or thousands of data models, all this metadata can\nbecome confusing, disparate, and inconsistent. It's hard to enforce good\npractices and maintain them in continuous integration systems. This is\nwhere`dbt-score` plays its role: by allowing data teams to programmatically\ndefine and enforce metadata rules, in an easy and scalable manner.\n\n## Documentation\n\nEverything you need (and more) can be found in [`dbt-score` documentation\nwebsite][dbt-score].\n\n## Contributing\n\nWould you like to contribute to `dbt-score`? That's great news! Please follow\n[the guide on the documentation website][contributors-guide]. 🚀\n\n[dbt]: https://github.com/dbt-labs/dbt-core\n[dbt-score]: https://dbt-score.picnic.tech/\n[contributors-guide]: https://dbt-score.picnic.tech/contributing/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPicnicSupermarket%2Fdbt-score","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FPicnicSupermarket%2Fdbt-score","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPicnicSupermarket%2Fdbt-score/lists"}