Sold by: Elm Computing
Deployed on AWS
Free Trial
AWS Free Tier
JupyterHub Server with multiple Python versions, published by Elm Computing.
Overview
This is a repackaged open source software product wherein additional charges apply for support by Elm Computing.
Disclaimer: All trademarks referenced in this listing belong to their respective owners. Their use does not imply any affiliation with or endorsement by the trademark holders.
This JupyterHub Server AMI equipped with multiple Python versions, popular data science Python packages and SageMath is best suited to serve Jupyter notebook for multiple users. For details, please visit docs.elmcomputing.io .
Highlights
- Pre-configured JupyterHub
- Popular data science packages
- Hundreds of Python packages
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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 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.
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 |
|---|---|
c5.2xlarge Recommended | $0.10 |
t2.micro | $0.10 |
t3.micro | $0.10 |
x1e.32xlarge | $0.10 |
c5a.24xlarge | $0.10 |
g4dn.8xlarge | $0.10 |
m7a.large | $0.10 |
m5dn.16xlarge | $0.10 |
c6a.12xlarge | $0.10 |
z1d.xlarge | $0.10 |
Vendor refund policy
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 5.2.1; Python 3.10 and data science packages such as tensorflow, torch, datascience, mlpack, mlflow and xgboost; OS: Ubuntu 24.04
SageMath has been removed. It can be added upon request.
Additional details
Usage instructions
The details can be found at https://docs.elmcomputing.io/ami/x86/ami.html listing all the installed python packages.
Resources
Vendor resources
Support
Vendor support
Please contact us at support@elmcomputing.io if any assistance is needed.
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.
Updated weekly
By Elm Computing
By RRecktek
By netCUBED
Top
100
In ML Solutions
Top
100
In Analytic Platforms, Business Intelligence & Advanced Analytics
Top
25
In Collaboration & Productivity
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Multi-User Notebook Server
Pre-configured JupyterHub server capable of serving Jupyter notebooks to multiple concurrent users
Multiple Python Versions
Support for multiple Python versions installed and available within the environment
Pre-installed Data Science Libraries
Popular data science Python packages and SageMath pre-installed and configured
Extensive Python Package Ecosystem
Hundreds of Python packages available for data science, scientific computing, and development workflows
Programming Language Support
R version 4.3 and Python 2 & 3 environments with Intel performance optimization
Pre-installed Package Library
More than 29,000 CRAN packages included in the R environment
Integrated Development Environments
RStudio Desktop, RStudio Server 2023.03.1+446, and Shiny 1.5.20.1002 included
Computation Optimization
OPMI 4.1.5.1 compiled optimization for substantially improved performance over standard distributions
Adaptive Security Architecture
Security features that dynamically adapt to protect against attacks
Browser-Based Remote Access
Full-featured Ubuntu 22.04 LTS Desktop environment accessible through a web browser without requiring client software installation.
Remote Desktop Protocol Support
Native Remote Desktop client connectivity enabling access to the workspace through remote desktop protocol.
Preinstalled Development Tools
Includes latest versions of Google Chrome, Anaconda, Jupyter, RStudio Server, Visual Studio Code, and Docker.
Multi-User Environment
Supports multiple concurrent users on appropriately sized instances with capability to add additional users to the system.
Integrated Development Interfaces
Secure browser-based access to Jupyter notebooks, RStudio Server, and Terminal sessions with copy-paste and drag-and-drop file upload functionality between virtual desktop and client.
Standard contract
No
No
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.