Sold by: Websoft9
Deployed on AWS
Free Trial
AWS Free Tier
Deploy JupyterHub 6.1 for self-hosting directly from upstream release, backed by a 24-hour response SLA on business days. Use the Websoft9 Console to manage HTTPS, backups, monitoring, upgrades, and rollback.
Overview
This product packages JupyterHub Community Edition as a hardened AMI for self-hosted deployment on AWS. Websoft9 adds a Console for HTTPS, backups, monitoring, upgrades with rollback, and application lifecycle management, plus one-click templates from its built-in app store.
What is included?
JupyterHub Community Edition, MLflow, TensorFlow, Nginx, Docker and Websoft9 Console.
Use cases
Notebook Workspaces, Data Science Teams, Teaching Environments, Machine Learning, Python Analysis.
What you pay for
This offer provides the Community Edition of the application. It does not include any commercial edition. The Websoft9 software fee covers the Console, operations toolset, and business-day support with a 24-hour response SLA. AWS infrastructure charges are billed separately by AWS.
Do I need SSH?
No. The standard deployment is completed in the browser through Websoft9 Console. SSH remains available for advanced customization.
Trademark statement
JupyterHub is a trademark of its respective owner. This image is independently provided by Websoft9 and is not affiliated with, sponsored by, or endorsed by the trademark owner.
About JupyterHub
JupyterHub is a multi-user server that gives teams their own Jupyter notebook environments on shared compute with central administration.
About Websoft9
Websoft9 productionizes open-source software on public clouds: official upstream releases, wrapped with our self-developed management panel, operations toolset, and expert support. The result is a self-hosted deployment that is easier to run and maintain.
Highlights
- Unmodified upstream software in a hardened image with LTS-aligned support for production use
- Websoft9 Console for HTTPS, backup, monitoring, and upgrades with rollback; SSH optional
- Support with 24-hour response SLA on business days
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 5 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.
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Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.055 |
t2.micro | $0.039 |
t3.micro | $0.055 |
m4.large | $0.055 |
m4.xlarge | $0.078 |
m4.2xlarge | $0.11 |
m4.4xlarge | $0.155 |
m4.10xlarge | $0.245 |
m4.16xlarge | $0.311 |
m5.large | $0.055 |
Dimensions summary
You pay by the hour for the EC2 instance type you run JupyterHub on. There are no tiers or plans. Instead, each dimension maps to a specific AWS instance size, and you pick the one that fits your workload. Options span general-purpose (m, t), compute-optimized (c), memory-optimized (r, x, z), GPU (g, p), storage-optimized (d, h, i), and FPGA (f) families. Pricing scales with instance capacity: larger instances with more vCPUs, memory, or specialized hardware cost more per hour. You can start and stop usage, paying only for hours the instance runs.
Top-of-mind questions for buyers
Each dimension maps to one running EC2 instance of that type, with JupyterHub preconfigured on it. You pay per hour the instance runs. The instance size sets the vCPUs, memory, and any GPU or local storage you receive. You pick the size matching your workload.
The hourly software charge accrues only while the instance runs. Stopping the instance halts those hourly charges. Note that stopped instances may still incur separate AWS storage fees for attached volumes. You pay the software rate for running hours only.
The billing method stays the same: per hour, per running instance. Only the hourly rate changes with the instance family and size. Larger instances with more vCPUs, memory, or GPU hardware carry a higher hourly rate. You switch sizes by launching a different instance type.
support.websoft9.com
Helpful?
Vendor refund policy
Annual Subscriptions: Refunds are allowed if you are canceling a subscription to purchase a new subscription from Websoft9 at the same or higher rate. Hourly Subscriptions: We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
JupyterHub 6.1, Docker, Websoft9 v2.4.4
Additional details
Usage instructions
Use local web browser to access https://<EC2_Instance_Public_IP>:9000, you will then see the setup wizard by Websoft9 Console.
Notes
- You do not need to SSH into EC2 at all steps, easy to operate.
- Make sure the EC2 security group permits ports 80, 443, 9000 and 9001
Resources
Vendor resources
Support
Vendor support
Docs: https://support.websoft9.com/en/docs/jupyterhub Email: help@websoft9.com SLA: 24-hour response on business days
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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