Awesome

🚀 dbt Command Center

Never 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.

<div> <a href="https://www.loom.com/share/99c67a35a912476aaa0742b176abf2f1"> <p>Watch a 2-min demo video</p> </a> <a href="https://www.loom.com/share/99c67a35a912476aaa0742b176abf2f1"> <img style="max-width:300px;" src="https://cdn.loom.com/sessions/thumbnails/99c67a35a912476aaa0742b176abf2f1-1717394143314-with-play.gif"> </a> </div>

Getting started

Install the package with pip install dbt-command-center
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.

Contributing

Clone the repository with git clone
If you changed your web application run npm run build to update the build folder.
Run cd web && npm run build && cd .. && rm -rf dist && python setup.py sdist bdist_wheel to create source and binary distribution files in the dist/ directory.
(Optional) Test your package locally by installing it with pip install --force-reinstall --no-deps <path-to-git>/dbt-command-center/dist/dbt_command_center-<version>.tar.gz

Release a new version to PyPI

Don't forget to update the version in setup.py
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.

Anonymous usage data

We 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.