JupyterHub Hosting Live In 5 Minutes

Deploy JupyterHub hosting and give a small, trusted team a self-hosted Jupyter notebook server with one sign-in page that starts a JupyterLab workspace for each person. xCloud runs the pinned images, generates a 40-character administrator password, mounts a persistent volume for the hub database and home folders and publishes the proxy over HTTPS in minutes, with nothing downloaded at start-up.

Deploy your JupyterHub

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

What is JupyterHub?

JupyterHub is an open-source server for running Jupyter for many users, and self-hosted JupyterHub is a self-hosted multi-user notebook server you control, rather than a hosted notebook service such as Google Colab. Its README says you can create a multi-user Hub that spawns, manages and proxies multiple instances of the single-user Jupyter notebook server, for a class of students, a data science workgroup, a research project or an HPC group. It is released under BSD-3-Clause.

On xCloud this template runs the hub as a private service behind a proxy published over HTTPS, using official Jupyter images pinned by digest. The jupyterhub_home volume holds the hub database and every home folder, and xCloud generates the administrator password and internal secrets. Everyone who can sign in runs code in the same container as the same system user, so it suits small groups you would trust with shell access.

From Sign-Up to a Running Notebook In Just 3 Easy Steps

A JupyterHub setup normally means a hub, a proxy, a notebook image, secrets, a volume, a domain and a certificate before the first notebook runs. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick JupyterHub from the OneClick catalog. Choose your domain and server and set the administrator username — the default is admin.
Step 02
We Deploy It For You
One click. We bring up the JupyterHub proxy and the private hub with its pinned Jupyter images, generate the administrator password and the internal secrets, mount the jupyterhub_home volume for the hub database and every user's home folder, and publish the proxy over HTTPS.
Step 03
Start Your First Server
Open your HTTPS JupyterHub URL and sign in as the administrator with the password from the protected credentials. Choose Start My Server to open JupyterLab and create your first notebook.

Everything JupyterHub Does, On Your Own Server

JupyterHub runs in full here: a sign-in page that starts a JupyterLab workspace per person, on a server you control.

One Sign-In, One Workspace Each
Each person who signs in gets their own JupyterLab server and home folder, started from the same sign-in page.
Administrator Page
The administrator can stop servers and remove users from the hub's admin page.
Uploads Up To 512 MB
Upload notebooks and datasets in the browser, up to 512 MB per file.
Notebooks That Persist
Notebooks, uploads and pip install --user packages live in jupyterhub_home; a test notebook was still there after a container restart in QA.
Add Teammates
Set an optional shared user password in the Environment editor and redeploy, and people sign in under their own username.
Hub Kept Private
Only the proxy is published over HTTPS; the hub itself and the proxy API are not published.

Everything You Need To Run Your Notebook Server 24/7

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

JupyterHub 6.0.1 deployed instantly
Official images pinned by digest
Administrator password generated for you
Kept behind xCloud nginx
Free SSL certificate
Server backups and snapshots
Server security updates included
Choose your server region
Unused balance refunded

What You Can Do With JupyterHub

Share one environment with a class
Give students or workshop attendees a notebook server without anyone installing Python locally.
Run a data-science workgroup
Keep a team's notebooks and datasets on one server instead of scattered laptops.
Host a research project's notebooks
Keep project notebooks in a persistent shared environment that collaborators reach from the browser.
Manage who has access
Use the administrator page to stop servers and remove users when someone leaves.

JupyterHub vs Alternatives

JupyterLab: A single JupyterLab server has no per-person sign-in page, while JupyterHub starts a separate server for each person. It has its own OneClick page if one workspace is enough.
Google Colab: Google Colab is a hosted notebook service run by Google, while JupyterHub runs on a server you control, with notebooks and datasets in a volume you rent and back up yourself.
Binder: Binder is a separate service for turning a repository into a runnable notebook environment. This template is a persistent, signed-in Hub for a fixed group, with home folders that survive restarts.
code-server: code-server brings VS Code to the browser and has its own OneClick page; JupyterHub focuses on notebook workspaces for multiple users.

Simple Pricing. Everything Included.

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

Cloud VPS 6 GB

Cloud VPS 16 GB

More headroom as more people run notebooks at once.

$59.99per month

16 GB RAM
6 vCPU cores
200 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. JupyterHub itself is licensed by the Jupyter project's contributors under BSD-3-Clause.

Docker hosting

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy JupyterHub 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

11+ servers
Unlimited sites
All features included
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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 To Run Your Own Notebook Server?

JupyterHub 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.

What is the difference between JupyterHub and JupyterLab?

JupyterLab is a single notebook workspace. JupyterHub adds a sign-in page and starts a separate JupyterLab server, with its own home folder, for each person who signs in. This template runs both together, and JupyterLab has its own OneClick page if you only need one workspace.

JupyterLab hosting

Is JupyterHub free?

Yes. JupyterHub ships under BSD-3-Clause, with its licence file linked here at the pinned 6.0.1 tag. xCloud bills for the Cloud VPS under it, not for JupyterHub, and nothing is charged per user by the software. Notebooks you write stay yours.

Can you run JupyterHub with Docker?

Yes, and this JupyterHub Docker hosting template does it for you: official Jupyter images, pinned by digest, run a proxy and a hub under Docker Compose on your own Cloud VPS, not a JupyterHub cloud account. The hub stays private and only the proxy is published over HTTPS.

How many users can JupyterHub support?

That depends on memory. Measured idle use in QA was about 128 MB, about 238 MB with one JupyterLab server running, and each additional active user adds several hundred MB. Everyone shares one container, so this template suits a small trusted group, not large-scale multi-tenant use.

How does login work in JupyterHub?

The administrator signs in with the username you chose and a generated 40-character password. Until you set the optional shared user password in the Environment editor, only the administrator can sign in. There is no open sign-up. People who have the shared password sign in under their own usernames.

How much RAM does JupyterHub need?

The template manifest asks for 1 CPU core, 1024 MB of RAM and 8 GB of disk as a floor, before any user's server is running. Each active user adds several hundred MB. Sold here as the 6 GB tier, it leaves room for several people working at once.

Are JupyterHub users isolated from each other?

No. Everyone who can sign in runs code in the same container as the same system user, with full shell access, so their files are not private from each other and they can read the hub's settings. Share access only with people you would give shell access to.

Where are user files stored in JupyterHub?

On the jupyterhub_home volume, which holds the hub database and every home folder. Include that volume in your backup before making changes. After a container restart each user's server must be started again with Start My Server, but the notebooks and uploads are still there.

Backups in xCloud

How do I upgrade JupyterHub?

Upgrades are not automatic. The template pins the hub and JupyterLab images by immutable digest, and existing sites keep them. Back up jupyterhub_home first, read the upstream release notes, then bump the readable tag and digests together on your own schedule.

Why did my installed package disappear?

Packages installed outside a user's home folder are lost when the container is recreated. Use pip install --user so they land on the persistent volume. Uploads through the browser are limited to 512 MB per file.

Can my team join?

Yes. Set the optional shared user password, at least 8 characters and different from the administrator password, in the Environment editor and redeploy. Anyone with it can sign in under any username, so this suits small, trusted groups only.

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.