How to order Jupyter Hub?

Deploy Jupyter Hub as a fully managed service starting at €9/month. Get automated backups, SSL, updates, monitoring, and human support, all included.

DANIAN runs Jupyter Hub as a fully managed service: installation, updates, backups, monitoring and security are handled for you.

See the jupyterhub hosting page for plans, pricing and a free trial.

1. Login at: https://portal.danian.co

2. Manage Apps - Add an App

3. Select: Jupyter Hub

4. Select service Region

This is the datacenter location where your App will be located.

5. Select the App Address (URL) - Select 1 of the 2 options:

A. Use a free URL provided by DANIAN

B. Use my own Domain/Subdomain. Then enter the URL. Later an automated email will be send to you with additional info.

6. Click: Send

7. You will be notified via email as soon as your App is activated.

8. To access the App credentials:

https://portal.danian.co - Manage Apps - My Apps - Click on the App
There you will find:
A. Account related info: Email, Username
B. App related info: Order Date
C. App info: App name, Plan, Disk, Region, Public IP Address, Charge
D. App Login: URL, Username and/or Email, Password & Useful info
E. Status: Delivered or Pending
F. Total Cost per month

About Jupyter Hub

JupyterHub is the multi-user server for Jupyter notebooks. It authenticates each person, then spawns and proxies a private notebook server for them, so a whole team or class works from one shared address.

JupyterHub is written in Python and licensed under the 3-Clause BSD license. It is maintained by Project Jupyter, whose funds are now hosted by LF Charities at the Linux Foundation. The repository has more than 8,000 stars and is depended on by over 3,000 other projects.

It runs everywhere serious notebook work happens. UC Berkeley uses it to teach more than 3,000 students. CERN runs it as SWAN for analysis of Large Hadron Collider data. NASA, NERSC, and Argonne run it on national supercomputers, and Netflix built a notebook platform on it that ran more than 150,000 jobs a day against a 100-petabyte warehouse.