Cloud VPS 6 GB
Most popularReactive notebooks for a single Python developer.
$24.99per month
- 6 GB RAM
- 4 vCPU cores
- 100 GB NVMe SSD
- 30 TB
- Unlimited
marimo hosting on xCloud gives you a reactive Python notebook on your own domain, with the editor protected by an access token. Deploy marimo in one click: xCloud runs the pinned 0.24.0 image as one CPU-only container, generates a 32-character token, mounts the marimo_workspace volume for your notebooks and publishes the workspace over HTTPS, so your notebooks stay plain Python files you own.
marimo is a reactive Python notebook, licensed under Apache 2.0: run a cell or interact with a UI element and marimo automatically runs the dependent cells, or marks them stale, keeping code and outputs consistent. Self-hosted marimo stores notebooks as pure Python files with first-class SQL support, so they work with Git. Upstream positions it as a fix for hidden-state problems in traditional notebooks such as Jupyter and as deployable as scripts or apps.
This template runs marimo 0.24.0 as one CPU-only container behind xCloud's nginx, started in edit mode with marimo's own token gate. The marimo_workspace volume holds every notebook and workspace file under /app. xCloud generates the access token. There is no username and password, and the container has no GPU, Docker socket or host mount.
A marimo install normally means a container, a notebook directory, an access token, a domain and a certificate before the first cell runs. This is the same result without assembling any of it.
Step 01
Create your xCloud account and pick marimo from the OneClick catalog. Choose your domain and target server; the install form has no application fields, because xCloud generates the access token.
Step 02
One click. We start marimo 0.24.0 pinned by digest in edit mode with the token gate on, mount marimo_workspace at /app for your notebooks and publish the workspace over HTTPS on your domain.
Step 03
Open your URL, enter the access token from the credentials panel, create a notebook, then add and run a Python cell and save it. The resulting .py file stays in the workspace volume.
marimo runs here as a single-user notebook editor, with its notebooks stored as Python files on a volume you control.
Run a cell and marimo automatically runs the cells that reference its variables, or marks them stale, so code and outputs stay consistent.
Each notebook is saved as a pure Python file, which makes diffs readable and lets you keep notebooks in Git beside the rest of your code.
Bind sliders, dropdowns, tables and chat interfaces to Python values without callbacks, and the cells using them re-run on change.
Write SQL that depends on Python values and run it against dataframes, databases or CSVs; the result returns as a Python dataframe.
Access is controlled by marimo's own token gate with a generated 32-character token, not an account system, so keep the token private.
Notebooks and workspace files live on the marimo_workspace volume at /app and survive restarts and redeploys of the container.
Managed hosting for marimo, so the parts that keep it online are not your problem.
An analyst queries a dataframe with SQL and Python in one notebook, changes a slider and watches dependent cells re-run, with no hidden state to debug later.
A developer saves notebooks as ordinary .py files on the workspace volume, so reviews show readable diffs and the notebooks sit beside the rest of the code.
Someone who ran notebooks on Google Colab moves to marimo on a Cloud VPS they control, with their notebooks stored on their own volume behind an access token.
A data scientist drafts an interactive notebook in the editor here. Upstream can deploy a notebook as a web app, but this template starts the editor, so app mode needs your own setup.
Dedicated Cloud VPS sizes, pre-configured for marimo hosting. Pick the one that fits, and resize any time.
Reactive notebooks for a single Python developer.
$24.99per month
Larger datasets and heavier notebook workloads.
$59.99per month
marimo alongside a whole self-hosted data stack.
$84.99per month
Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. marimo itself is free under the Apache License 2.0.
Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy marimo on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.
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marimo on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Keep your notebooks. Stay in control.
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Yes, and marimo Docker hosting is what this template does. Upstream publishes a prebuilt container; xCloud runs ghcr.io/marimo-team/marimo 0.24.0 pinned by digest as one CPU-only container with marimo_workspace mounted, served on your domain over HTTPS, instead of a Dockerfile and proxy you maintain.
The template manifest asks for 2048 MB of RAM, 2 CPU cores and 10 GB of disk as a floor, which the 6 GB plan sold here covers. Larger datasets and heavier notebook workloads need more memory, and the image is CPU-only with no GPU access.
marimo does not update itself here: 0.24.0 is pinned by digest, and a catalogue re-sync affects new installs only. Back up marimo_workspace, read the upstream release notes, then recreate the container with a newer pin while keeping the volume, and check your notebooks still open and run.
Back up the marimo_workspace volume, which holds all notebooks and workspace files under /app; restore it as one unit. The access token is configuration, not notebook data, so keep a private copy of the environment configuration separately, and test a restore before relying on a backup.
Upstream says marimo is reactive: running a cell re-runs dependent cells or marks them stale, so code and outputs stay consistent with no hidden state. Notebooks are stored as pure Python files rather than JSON. JupyterLab has its own xCloud page if you prefer the classic notebook model.
Upstream can deploy a notebook as an interactive web app. This template starts marimo in edit mode behind the token gate, so it is a notebook editor rather than a published app. Serving a notebook publicly as an app would need your own configuration, and no such setup is part of the template.
Yes. Upstream stores marimo notebooks as pure Python, with first-class SQL support, so they run as scripts and diff cleanly in Git. On this template each saved notebook is a .py file on the marimo_workspace volume, which is why backing up that one volume covers all your notebooks.
It uses a token or password gate rather than accounts. Upstream enables authentication by default for editing, and this template passes a generated 32-character token to it. Anyone with the token can open the editor, so rotate it by changing MARIMO_TOKEN in the Environment editor and restarting.
Yes. marimo is open source under the Apache License 2.0, and the LICENSE file at the 0.24.0 tag is the Apache text. The xCloud charge is for the server and its setup, and the notebook editor carries no licence fee.
You do. This is marimo cloud hosting on a dedicated Cloud VPS only you use, so notebooks and workspace files sit on your marimo_workspace volume. You are responsible for the notebook content, the packages it imports and the backups; xCloud runs the server and the deployment.
Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.
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