{"id":13703022,"url":"https://github.com/montara-io/dbt-command-center","last_synced_at":"2025-05-05T07:30:33.377Z","repository":{"id":241849014,"uuid":"799788733","full_name":"montara-io/dbt-command-center","owner":"montara-io","description":"Never sift through endless dbt™ logs again. dbt Command Center is a free, open-source, local web application that provides a user-friendly interface to monitor and manage dbt runs.","archived":false,"fork":false,"pushed_at":"2025-04-20T20:12:37.000Z","size":3725,"stargazers_count":28,"open_issues_count":9,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-20T21:24:35.153Z","etag":null,"topics":["analytics-engineering","bigquery","data-analysis","data-catalog","data-engineering","data-lineage","data-observability","data-pipeline","data-pipelines","data-validation","data-warehouse","dataops","dbt","dbt-packages","elt","etl","orchestration","python","redshift"],"latest_commit_sha":null,"homepage":"https://montara.io","language":"TypeScript","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/montara-io.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-05-13T05:27:44.000Z","updated_at":"2025-04-20T20:12:42.000Z","dependencies_parsed_at":"2024-06-02T07:43:24.973Z","dependency_job_id":"da6fd4ef-4c9d-4f4b-a717-8d9a19d9cc6c","html_url":"https://github.com/montara-io/dbt-command-center","commit_stats":null,"previous_names":["montara-io/dbt-command-center"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/montara-io%2Fdbt-command-center","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/montara-io%2Fdbt-command-center/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/montara-io%2Fdbt-command-center/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/montara-io%2Fdbt-command-center/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/montara-io","download_url":"https://codeload.github.com/montara-io/dbt-command-center/tar.gz/refs/heads/main","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":["analytics-engineering","bigquery","data-analysis","data-catalog","data-engineering","data-lineage","data-observability","data-pipeline","data-pipelines","data-validation","data-warehouse","dataops","dbt","dbt-packages","elt","etl","orchestration","python","redshift"],"created_at":"2024-08-02T21:00:49.033Z","updated_at":"2025-05-05T07:30:33.371Z","avatar_url":"https://github.com/montara-io.png","language":"TypeScript","funding_links":[],"categories":["Utilities"],"sub_categories":[],"readme":"# 🚀 dbt™ Command Center\n\nNever drill through endless dbt™ logs again. dbt™ Command Center is a local web application that provides a user-friendly interface to monitor and manage dbt™ runs.\n\n\u003cdiv\u003e\n  \u003ca href=\"https://www.loom.com/share/99c67a35a912476aaa0742b176abf2f1\"\u003e\n    \u003cp\u003eWatch a 2-min demo video\u003c/p\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://www.loom.com/share/99c67a35a912476aaa0742b176abf2f1\"\u003e\n    \u003cimg style=\"max-width:300px;\" src=\"https://cdn.loom.com/sessions/thumbnails/99c67a35a912476aaa0742b176abf2f1-1717394143314-with-play.gif\"\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n\n\n## Getting started\n\n- Install the package with `pip install dbt-command-center`\n- Run `dcc` instead of `dbt` to start the dbt™ Command Center. You can pass the same arguments as you would to `dbt run`. For example `dcc run --models my_model --full-refresh`.\n\n## Contributing\n\n- Clone the repository with `git clone`\n\n- If you changed your web application run `npm run build` to update the build folder.\n\n- Run `cd web \u0026\u0026 npm run build \u0026\u0026 cd .. \u0026\u0026 rm -rf dist \u0026\u0026 python setup.py sdist bdist_wheel` to create source and binary distribution files in the dist/ directory.\n\n- (Optional) Test your package locally by installing it with `pip install --force-reinstall --no-deps \u003cpath-to-git\u003e/dbt-command-center/dist/dbt_command_center-\u003cversion\u003e.tar.gz`\n\n## Release a new version to PyPI\n\n- Don't forget to update the version in `setup.py`\n\n- A new version is automatically released with every push to the main branch. The GitHub Action will build the package and upload it to PyPI.\n\n### Anonymous usage data\n\nWe strive to make dbt™ Command Center better by understanding how it is used. To do this, we collect anonymous usage data. This does not include any personal information or data from your dbt™ runs. You can opt-out by setting the environment variable `DCC_DISABLE_ANALYTICS` to `true`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmontara-io%2Fdbt-command-center","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmontara-io%2Fdbt-command-center","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmontara-io%2Fdbt-command-center/lists"}