{"id": "plugins:deploying-plugins-using-datasette-publish", "page": "plugins", "ref": "deploying-plugins-using-datasette-publish", "title": "Deploying plugins using datasette publish", "content": "The  datasette publish  and  datasette package  commands both take an optional  --install  argument. You can use this one or more times to tell Datasette to  pip install  specific plugins as part of the process: \n                 datasette publish cloudrun mydb.db --install=datasette-vega \n                 You can use the name of a package on PyPI or any of the other valid arguments to  pip install  such as a URL to a  .zip  file: \n                 datasette publish cloudrun mydb.db \\\n    --install=https://url-to-my-package.zip", "breadcrumbs": "[\"Plugins\", \"Installing plugins\"]", "references": "[]"}
{"id": "plugins:one-off-plugins-using-plugins-dir", "page": "plugins", "ref": "one-off-plugins-using-plugins-dir", "title": "One-off plugins using --plugins-dir", "content": "You can also define one-off per-project plugins by saving them as  plugin_name.py  functions in a  plugins/  folder and then passing that folder to  datasette  using the  --plugins-dir  option: \n                 datasette mydb.db --plugins-dir=plugins/", "breadcrumbs": "[\"Plugins\", \"Installing plugins\"]", "references": "[]"}