JupyterHub Hosting Live In 5 Minutes

Deploy JupyterHub hosting and give a small, trusted team one sign-in page that starts a JupyterLab workspace for each person. xCloud runs the pinned JupyterHub 6.0.1 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 — nothing is 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 JupyterLab for many users. It adds a sign-in page in front of Jupyter and starts a separate JupyterLab server, with its own home folder, for each person who signs in.

This template runs the hub as a private service behind a proxy published over HTTPS, with a generated administrator password. Everyone who can sign in runs code in the same container as the same system user, so it fits 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 and were still present after an xCloud Restart.
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
30+ server locations
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.
Google Colab: Google Colab is a hosted notebook service run by Google, while JupyterHub runs on a server you control.
code-server: code-server brings VS Code to the browser; 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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The same platform, discounted at 6–10 servers.

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Unlimited sites
All features included
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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 does JupyterHub add over plain JupyterLab?

It adds a sign-in page and starts a separate JupyterLab server with its own home folder for each person.

How do I sign in the first time?

Use the administrator username and the generated password from the protected installation credentials.

Can my team join?

Yes. Set the optional shared user password in the Environment editor and redeploy; people then sign in under their own username. This suits small, trusted groups only.

Are users isolated from each other?

No. Everyone who can sign in runs code in the same container as the same system user, so share access only with people you would give shell access to.

What runs alongside the hub?

A proxy service in front of it. Both are private except the HTTPS proxy entry.

How large can an upload be?

Up to 512 MB per file through the browser.

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.

Why is my server stopped after a restart?

After a container restart a user's server must be started again on the next visit with Start My Server.

What should I back up?

The jupyterhub_home volume, which holds the hub database and all user files. Back it up before changes.

Backups in xCloud

Does xCloud automatically back up or update JupyterHub?

No. The template pins the hub and JupyterLab images by immutable digest; existing sites are not automatically upgraded. Back up first, read the upstream release notes, then bump the readable tag and digests together on your own schedule. Server-level backups and snapshots are available on every Cloud VPS.

What are the server requirements, and why does this page sell 6 GB?

The template's baseline asks for 1 CPU core, 1024 MB of RAM and 8 GB of disk. 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. This page sells the 6 GB tier as the entry rung, with real headroom above that baseline.

Is xCloud officially partnered with JupyterHub?

No. No official partnership or endorsement between xCloud and the JupyterHub project has been verified. This is a deployment and server-management option for the open-source JupyterHub project.

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.