Deploying¶

You can deploy marimo in three ways:

via an edit server, which allows you to create and edit notebooks. On the CLI, this is launched with marimo edit, and is similar to jupyter notebook.
via a run server, which allows you serve marimo notebooks as read-only web apps. On the CLI, this is launched with marimo run notebook.py
programmatically, which allows you serve read-only marimo apps as part of other ASGI applications, for example using FastAPI.

Sharing lightweight notebooks on the web

To share notebooks on the public web, try using our online playground . Our playground runs entirely in the browser – no backend required, via WASM.

Or, to share notebooks with email-based authorization, you can also try our free community cloud, which is also powered by WASM.

WASM notebooks support most but not all Python features and packages.

Deploying an edit server¶

Here are a few ways to deploy an edit server on a remote instance:

These guides help you deploy marimo notebooks as read-only apps.


Running the marimo backend programmatically	Programmatically run and customize read-only marimo apps
Deploy with Docker	Deploy with Docker
Authentication	Authentication and security
Deploy to our public gallery	Deploy to our public gallery
Deploy to Hugging Face	Deploy to Hugging Face
Deploy to Ploomber Cloud	Deploy to Ploomber Cloud

The following endpoints may be useful when deploying your application:

/health - A health check endpoint that returns a 200 status code if the application is running as expected
/healthz - Same as above, just a different name for easier integration with cloud providers
/api/status - A status endpoint that returns a JSON object with the status of the server

If you would like to deploy your application at a subpath, you can set the --base-url flag when running your application.

marimo run app.py --base-url /subpath

You can include code in your application by using the --include-code flag when running your application.

marimo run app.py --include-code