Sold by: Elm ComputingÂ
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c5.2xlarge Recommended | $0.10 |
t2.micro AWS Free Tier | $0.10 |
t3.micro AWS Free Tier | $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
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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
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Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Multi-Version Python Support
Provides multiple Python versions for development and data science environments
Data Science Package Ecosystem
Includes extensive collection of popular data science Python packages
Collaborative Notebook Platform
JupyterHub server configured for multi-user notebook sharing and collaboration
Scientific Computing Integration
Includes SageMath for advanced mathematical and scientific computing capabilities
Pre-Configured Development Environment
Pre-configured server environment with comprehensive Python package ecosystem
Computational Environment
Optimized data analysis platform supporting R version 4.3 and Python 2 & 3 with comprehensive package ecosystem
Package Ecosystem
Comprehensive collection of over 29,000 CRAN packages for advanced statistical and computational analysis
Integrated Development Tools
Includes RStudio Desktop, RStudio Server, and Shiny server for comprehensive data science workflow
Performance Optimization
Intel-compiled performance-enhanced versions of R and Python with specialized optimization techniques
Security Framework
Advanced adaptive security mechanisms designed to dynamically protect against potential computational attacks
Remote Desktop Access
Supports browser-based and native remote desktop client access to Ubuntu 22.04 LTS desktop environment
Development Environment
Includes pre-installed development and data science tools like Jupyter, RStudio Server, VS Code, and Anaconda
Web Interface
Provides secure browser-based access to Jupyter, RStudio Server, and Terminal sessions without additional client software
Multi-User Capability
Supports concurrent user access and system user management across appropriately sized instances
Integrated Browser Functionality
Enables copy-paste and drag-and-drop file upload between virtual desktop and client browser
Standard contract
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