JupyterLab Hosting Live In 5 Minutes

JupyterLab hosting on xCloud gives you a self-hosted Jupyter notebook environment in the browser, with notebooks, terminals and text files on a workspace that stays on a server you control. Deploy JupyterLab from the OneClick catalog and xCloud starts the official Jupyter Docker Stacks minimal-notebook image, mounts the persistent jupyterlab_work volume, publishes it over HTTPS and generates the access token you sign in with.

Deploy your JupyterLab

No terminal
No technical skills needed
No lock-in, cancel anytime

What is JupyterLab?

JupyterLab is an extensible environment for interactive and reproducible computing, and self-hosted JupyterLab is a self-hosted notebook environment you run on your own server instead of a hosted service such as Google Colab. Its README calls it the next-generation user interface for Project Jupyter, with notebook, terminal, text editor, file browser and rich outputs, extensible through npm packages. It is licensed under BSD-3-Clause.

On xCloud this template runs the official Jupyter Docker Stacks minimal-notebook image, tagged 2026-08-24 and pinned by digest, which bundles JupyterLab. HTTPS is on your domain, and a single generated access token is the whole access model. Only the jupyterlab_work volume at /home/jovyan/work persists; packages installed elsewhere in the container are lost when it is recreated. It is single-user, not JupyterHub.

From Sign-Up to a Live JupyterLab Workspace In Just 3 Easy Steps

Self-hosting a notebook environment normally means a container, a persistent workspace, a domain and a certificate before a single cell runs. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick JupyterLab from the OneClick catalog. Enter a site title and domain, then leave the access-token field empty for secure automatic generation or supply your own.
Step 02
We Deploy It For You
One click. We bring up the official Jupyter Docker Stacks minimal-notebook image pinned by immutable digest, mount the jupyterlab_work volume at /home/jovyan/work, and publish JupyterLab over HTTPS on your domain.
Step 03
Sign In And Create A Notebook
Open your HTTPS URL and sign in with the access token shown in your installation credentials. Create a notebook or upload project files under the persistent work directory.

Everything JupyterLab Does, On Your Own Server

JupyterLab runs in full here — notebooks, terminals and interactive data exploration, on infrastructure you control.

Notebooks In The Browser
Write and run notebooks, open terminals and edit text files from one interface, without installing anything locally.
Token-Protected Access
Sign in with a generated access token instead of a shared or default password.
Persistent Workspace
Notebooks and files under /home/jovyan/work survive a restart, so your files are still there when you come back.
Official Jupyter Docker Stacks Image
Runs the same minimal-notebook image the Jupyter project itself publishes and maintains.
Bring Your Own Packages
Install the kernels and packages your analysis needs inside the running environment, on hardware you size yourself.
One Volume, Fully Persistent
The jupyterlab_work volume is the entire persistence contract — everything under it survives a restart.

Everything You Need To Run Your Notebook Workspace 24/7

Managed hosting for JupyterLab, so the parts that keep it online are not your problem.

JupyterLab deployed instantly
Official pinned image digest
Generated access token
App port bound to localhost
Free SSL certificate
Server backups and snapshots
Server security updates included
30+ server locations
Unused balance refunded

What You Can Do With JupyterLab

Explore data in a notebook you can reach anywhere
An analyst opens a notebook from a laptop or tablet, loads project data into the work directory, and keeps going from the same state later because the workspace lives on a server.
Run a private lab notebook for a research project
A researcher keeps notebooks and datasets on one server they rent, signs in with a generated token, and decides when to upgrade the image rather than depending on a hosted notebook service.
Teach with a shared environment
An instructor prepares a workspace with the packages a course needs and shares the token with a small group, so nobody installs Python locally. For per-person accounts, use JupyterHub instead.
Keep long-running experiments off your laptop
A developer starts a long computation in a terminal or notebook on a Cloud VPS sized for the job, closes the laptop, and returns to the results in the same persistent work directory.

JupyterLab vs Alternatives

Google Colab: Google Colab is a hosted notebook service run by Google. JupyterLab on xCloud runs on a server you rent, with files in a jupyterlab_work volume you back up yourself and hardware sized to your job.
JupyterHub: JupyterHub adds a sign-in page and a separate JupyterLab server per person, and has its own OneClick page. This template is a single-token JupyterLab instance with no per-user accounts.
Marimo: Marimo is a separate notebook app with its own OneClick page and its own file format. Choose this template when you want JupyterLab's notebooks, terminals and extension ecosystem.
code-server: code-server brings VS Code to the browser and has its own OneClick page. JupyterLab is built around notebooks, terminals and a file browser rather than a code editor.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for JupyterLab hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Cloud VPS 16 GB

Larger datasets and heavier kernels.

$59.99per month

16 GB RAM
6 vCPU cores
200 GB NVMe SSD
30 TB
Unlimited

Get started

Cloud VPS 24 GB

JupyterLab alongside a whole self-hosted stack.

$84.99per month

24 GB RAM
8 vCPU cores
300 GB NVMe SSD
30 TB
Unlimited

Get started

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. JupyterLab itself is free under the BSD-3-Clause license.

Docker hosting

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy JupyterLab on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

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Agency

The same platform, discounted at 11+ servers.

$3per server / month

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Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Self-managed hosting

Ready For A Private Notebook Workspace?

JupyterLab on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Is JupyterLab free?

Yes. JupyterLab and the Jupyter Docker Stacks image are free software under BSD-3-Clause, with the licence file linked here. xCloud bills for the Cloud VPS under it, not for JupyterLab, and the software adds no per-user fee. Notebooks you create remain yours.

What is the difference between JupyterLab and Jupyter Notebook?

Per JupyterLab's README, it is the next-generation user interface for Project Jupyter, offering the familiar building blocks of the classic Jupyter Notebook, such as notebook, terminal, text editor and file browser, in a more flexible interface. This template runs JupyterLab through the minimal-notebook image.

Can you run JupyterLab with Docker?

Yes, and this JupyterLab Docker hosting template does it for you: the official quay.io/jupyter/minimal-notebook image, tagged 2026-08-24 and pinned by digest, runs as one container on your Cloud VPS, not in a JupyterLab cloud account, with HTTPS in front on port 8888.

How do I install extensions in JupyterLab?

JupyterLab's README says extensions are npm packages, with prebuilt ones distributed through PyPI and conda, and source extensions installable from npm. Install them inside the running environment, but note that anything outside /home/jovyan/work is lost when the container is recreated, so record your setup in work.

How do I log in to a self-hosted JupyterLab?

With one access token and no username. Leave the install field empty for xCloud to generate a 32-character token, or supply your own of at least 24 characters. Token authentication is the entire access model here, so anyone with the token has full access to the workspace and terminal.

How much RAM does JupyterLab need?

The template manifest asks for 2048 MB of RAM, 2 CPU cores and 8 GB of disk as a floor. Heavier kernels and bigger datasets need more, because notebooks hold data in memory. This page sells the 6 GB tier, and you can resize the server later when your workload grows.

Where are my notebooks stored?

On the jupyterlab_work volume, mounted at /home/jovyan/work, which is the only persistent path. Include that volume in your backup before upgrades or destructive changes. Packages, custom kernels and system changes elsewhere in the container do not survive a recreation.

Backups in xCloud

How do I upgrade JupyterLab?

Upgrades are not automatic. The template pins the minimal-notebook 2026-08-24 image by immutable digest, a date tag rather than a JupyterLab version, and a catalog re-sync affects new installs only. Back up the work volume and check kernels and packages before changing the pinned image.

Is JupyterLab an alternative to Google Colab?

It can be: JupyterLab is a notebook environment in the browser on hardware you choose, with files you keep. This page makes no feature-parity claim with Colab, and it does not provide Colab's hosted compute, so size the Cloud VPS for your own workload.

Is this JupyterHub with multiple user accounts?

No. This template runs a single-token minimal-notebook instance, not JupyterHub, and has no multi-user account management. One access token controls the whole workspace. JupyterHub has its own OneClick page if you want a sign-in page and separate workspaces per person.

JupyterHub hosting

How do I rotate the access token?

Update JUPYTER_TOKEN in the Environment editor and restart the application, then verify a fresh sign-in. Existing browser sessions may need to sign in again. Keep the token stable between restarts, and make a backup of the work volume before any change to the install.

Can I cancel anytime?

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.