Sold by: cloudimg
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This product has charges associated with it for seller support. JupyterHub, the multi user Jupyter notebook platform, preinstalled with Python, JupyterLab and a native signup login flow. Per instance administrator credentials are generated on first boot. Backed by 24/7 cloudimg support.
Overview
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JupyterHub sign-in page
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JupyterHub user home
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JupyterLab session
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Administrator panel
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview JupyterHub is the open source multi user platform for Jupyter notebooks, used by research teams, classrooms and data science groups around the world. This image delivers JupyterHub fully installed and configured, so a complete multi user notebook environment is running within minutes of launch. The current release available is JupyterHub 5.
Application Stack JupyterHub running on Python in a dedicated virtual environment. JupyterLab and the classic notebook are installed alongside, so every spawned user server has a modern interface. The configurable HTTP proxy is provided by the official NodeSource Node.js LTS package. The native authenticator extension gives an in image signup and approval flow with no dependency on Linux system accounts.
Secure First Boot On the first boot of your instance a one shot service generates a fresh administrator password unique to that instance and writes it to a root only file. No shared or default credentials ship in the image. The administrator can then approve further signups from the web UI.
Ready To Use The JupyterHub server, proxy and database are all configured. Browse to the instance address on port 8000 and sign in as the cloudimg administrator user. From the admin panel you can manage users, approve signups, start and stop single user servers, and switch to JupyterLab or the classic notebook.
cloudimg Support 24/7 technical support by email and chat. Help with JupyterHub deployment, upgrades, authenticator and spawner configuration, JupyterLab extensions and performance tuning.
Use Cases Multi user classroom and training environments. Shared data science workbenches. Research group analytics platforms. Interactive notebook hosting for small teams.
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Highlights
- JupyterHub preinstalled with Python, JupyterLab, the classic notebook and the native signup login flow, with no manual setup
- Hardened first boot generates a fresh administrator password for every instance and stores it in a file only the root user can read
- 24/7 technical support from cloudimg, with expert assistance for JupyterHub deployment, configuration, upgrades and notebook environment tuning
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Description | Cost/hour |
|---|---|---|
m5.large Recommended | m5.large | $0.08 |
t2.micro | t2.micro instance type | $0.04 |
t3.micro | t3.micro instance type | $0.04 |
r8a.xlarge | r8a.xlarge instance type | $0.12 |
c5a.2xlarge | c5a.2xlarge instance type | $0.24 |
h1.8xlarge | h1.8xlarge instance type | $0.24 |
r5dn.4xlarge | r5dn.4xlarge instance type | $0.24 |
r6idn.2xlarge | r6idn.2xlarge instance type | $0.24 |
r6in.large | r6in.large instance type | $0.08 |
x8i.large | x8i.large instance type | $0.08 |
Vendor refund policy
Refunds available on request.
Legal
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of JupyterHub 5 with JupyterLab and the native authenticator.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). JupyterHub is served on port 8000. Browse to http://<instance-public-ip>:8000/ and sign in as the 'cloudimg' user. Retrieve the generated administrator password with: sudo cat /root/jupyterhub-credentials.txt. Additional users can sign up from the web UI and be approved from the admin panel.
Resources
Vendor resources
Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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