Datasette includes tools for publishing and deploying your data to the internet. The ``datasette publish`` command will deploy a new Datasette instance containing your databases directly to a Heroku or Google Cloud hosting account. You can also use ``datasette package`` to create a Docker image that bundles your databases together with the datasette application that is used to serve them.
Once you have created a SQLite database (e.g. using `csvs-to-sqlite <https://github.com/simonw/csvs-to-sqlite/>`_) you can deploy it to a hosting account using a single command.
You will need a hosting account with `Heroku <https://www.heroku.com/>`__ or `Google Cloud <https://cloud.google.com/>`__. Once you have created your account you will need to install and configure the ``heroku`` or ``gcloud`` command-line tools.
To publish your data using Heroku, first create an account there and install and configure the `Heroku CLI tool <https://devcenter.heroku.com/articles/heroku-cli>`_.
You can publish a database to Heroku using the following command::
datasette publish heroku mydatabase.db
This will output some details about the new deployment, including a URL like this one::
https://limitless-reef-88278.herokuapp.com/ deployed to Heroku
You can specify a custom app name by passing ``-n my-app-name`` to the publish command. This will also allow you to overwrite an existing app.
`Google Cloud Run <https://cloud.google.com/run/>`__ launched as a GA in in November 2019. It allows you to publish data in a scale-to-zero environment, so your application will start running when the first request is received and will shut down again when traffic ceases. This means you only pay for time spent serving traffic.
A Cloud Run **service** is a single hosted application. The service name you specify will be used as part of the Cloud Run URL. If you deploy to a service name that you have used in the past your new deployment will replace the previous one.
If you omit the ``--service`` option you will be asked to pick a service name interactively during the deploy.
`Fly <https://fly.io/>`__ is a `competitively priced <https://fly.io/docs/pricing/>`__ Docker-compatible hosting platform that makes it easy to run applications in globally distributed data centers close to your end users. You can deploy Datasette instances to Fly using the `datasette-publish-fly <https://github.com/simonw/datasette-publish-fly>`__ plugin, installed separately.
::
pip install datasette-publish-fly
datasette publish fly mydatabase.db
Consult the `datasette-publish-fly README <https://github.com/simonw/datasette-publish-fly/blob/master/README.md>`__ for more details.
You can also specify plugins you would like to install. For example, if you want to include the `datasette-vega <https://github.com/simonw/datasette-vega>`_ visualization plugin you can use the following::
If a plugin has any :ref:`plugins_configuration_secret` you can use the ``--plugin-secret`` option to set those secrets at publish time. For example, using Heroku with `datasette-auth-github <https://github.com/simonw/datasette-auth-github>`__ you might run the following command::
If you have docker installed (e.g. using `Docker for Mac <https://www.docker.com/docker-mac>`_) you can use the ``datasette package`` command to create a new Docker image in your local repository containing the datasette app bundled together with your selected SQLite databases::