Sold by: Websoft9
Deployed on AWS
Free Trial
AWS Free Tier
Deploy a pre-configured, self-hosted JupyterHub and JupyterLab in minutes. It uses the upstream projects without product-specific forks. Websoft9 Console helps configure HTTPS, backups, monitoring, and upgrades with rollback
Overview
JupyterHub runs on AWS as a hardened AMI for self-hosted deployment. The Websoft9 Console provides HTTPS, backups, monitoring, upgrades with rollback, and app deployment, modification, and redeployment, plus one-click templates from the built-in app store.
What is included?
JupyterHub, JupyterLab, Python, Nginx, Docker, and Websoft9 Console.
Use Cases
Team data science, machine learning, research, and classroom notebook environments
What You Pay For?
The application itself is free and open source. The software fee covers the Websoft9 Console, operations toolset, and support with a 24-hour response SLA on business days. AWS infrastructure is billed separately.
Do I need SSH?
No. Standard setup is completed in the browser. SSH remains available for advanced customization.
Trademark Statement
This application is the property of its original owner, who is not affiliated with and does not endorse this image. Independently provided by Websoft9.
About JupyterHub
JupyterHub is the multi-user server that spins up and routes each user to their own JupyterLab instance and JupyterLab is the next-generation Jupyter Notebook interface.
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
- Open source upstream packages in a hardened image, no forks, no lock-in
- Websoft9 Console: HTTPS, backup, monitoring, and upgrades with rollback; SSH optional.
- Support: 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
New
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.
- ...
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 this software on. Each dimension maps to a specific instance size, so your cost scales with the compute you choose. Options span general-purpose (m4, m5, m5d, t2, t3), compute-optimized (c4, c5, c5d, c6a), memory-optimized (r4, r5, r5d, x1, x1e, z1d), GPU (g3, p2, p3), storage-optimized (d2, h1, i3), and FPGA (f1) families. Within each family, larger sizes cost more per hour. You stop paying when you stop the instance. No fixed term applies.
Top-of-mind questions for buyers
Each hourly unit covers the software running on one EC2 instance of the size you pick. You are charged for every hour that instance runs. The dimension name matches the EC2 instance type, so your software rate tracks the compute, memory, or GPU profile of that size.
The software charge meters running time only. When you stop the instance, the hourly software charge stops. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from this software charge.
Pick the instance family that matches your workload. General-purpose families (m, t) suit balanced notebook use. GPU families (g3, p2, p3) suit machine learning. Memory-optimized families (r, x1, z1d) suit large in-memory datasets. The multi-user notebook software runs the same across all families.
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
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.
Similar products
Deploy a pre-configured, self-hosted Semaphore UI v2.19 in minutes. It uses the upstream projects without product-specific forks. Websoft9 Console helps configure HTTPS, backups, monitoring, and upgrades with rollback
This product has charges associated with it for seller support.
JupyterHub Server AMI (x86_64), published by Elm Computing.
JupyterHub Server AMI (Arm), published by Elm Computing.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.