Sold by: RELEVANCE LAB
This product is a ready-to-use HAQM Machine Image (AMI) that comes with RStudio, Jupyterlab, Docker, VisualStudio etc running on HAQM Linux. It is made for data scientists, researchers, and analysts, providing a setup to work on R-based development and analytics in AWS.
Sold by: RELEVANCE LAB
Overview
Overview
The Secure Desktop is a cloud-based, ready-to-use environment designed for data scientists, developers, and analysts. It comes pre-configured with a wide range of essential tools and frameworks to support statistical computing, machine learning, and software development all accessible through a secure virtual desktop.
Key Features
Pre-installed RStudio: Ready-to-use RStudio Server for data analysis and visualization.
JupyterLab for Data Science: Pre-installed JupyterLab for interactive data analysis and machine learning.
Visual Studio Code and PyCharm: Lightweight IDEs pre-installed for Python, R, and general-purpose development.
Authoring Tools Included: VS Code, Visual Studio 2019 CE, PyCharm CE, Jupyter, and JupyterLab for seamless development.
Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, and Vowpal Wabbit pre-installed for end-to-end ML workflows.
LibreOffice Suite: Installed for document editing, spreadsheets, and presentations.
Docker for Containerized Workloads: Docker and Docker Compose included for running containerized applications.
Anaconda for Python & Data Science: Pre-installed Anaconda for managing Python and R environments.
Technical Details
OS: HAQM Linux 2023
Software:
- RStudio Server: Version 2024.12.0 with R and essential libraries pre-installed; additional packages available via CRAN
- JupyterLab: Installed with Python and R kernels for interactive notebooks
- Visual Studio Code & PyCharm CE: Available for lightweight Python/R development
- ML/DS Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Vowpal Wabbit
- LibreOffice: Full productivity suite for documents, spreadsheets, and presentations
- Docker & Docker Compose: Installed for containerized development
- Anaconda: Pre-installed for Python and R package management
Instance Types: Supports a range of EC2 instances, from t3.medium for small workloads to compute-optimized and GPU-backed instances for intensive processing.
This Secure Desktop setup is designed for data scientists, analysts, and developers who require a stable, cloud-optimized, and pre-configured environment for statistical computing, machine learning, and software development.
Highlights
- Pre-configured Data Science Environment: Comes with RStudio Server, JupyterLab, and Anaconda ready to use no setup required.
- Built-in Machine Learning Frameworks: Includes popular libraries like PyTorch, TensorFlow, scikit-learn, PySpark, and Vowpal Wabbit for end-to-end ML workflows.
- Supports Scalable Cloud Workloads: Optimized for a wide range of EC2 instance types, from basic t3.medium to GPU-backed instances for heavy compute tasks.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) HAQM Machine Image (AMI)
Latest version
Operating system
HAQMLinux 2023
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
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 |
|---|---|
t3.large Recommended | $0.00 |
Vendor refund policy
Not Applicable
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) HAQM Machine Image (AMI)
HAQM Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. HAQM 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
Not Applicable
Additional details
Usage instructions
Quick Usage Summary
Subscribe & Launch: Subscribe to the AWS Marketplace product and launch an instance. Access Rstudio Interface: Open a browser and go to public DNS and when asked for the credentials Enter the following credentials Username: RStudio Password: Instance id This will open the RStudio homepage
Additional Notes
Persistent Data: Ensure you attach an EBS volume for persistent data storage. Security Best Practices: Change the default admin password immediately after first login. Firewall and Security Group: Ensure inbound rules allow access only to trusted users. Performance Considerations: If running heavy computations in RStudio, consider using a larger instance type.
For additional reference please check the attached images for detailed setup guidance. You can also visit the following link for more detailed instructions: http://market-place-artifacts.s3.us-east-1.amazonaws.com/Secure+Data+Science+Workspace.pdf
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 HAQM Web Services.
Similar products
Bitnami package for JupyterHub
By Bitnami by VMware
Up-to-date and secure image. JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks.
Ubuntu Linux Desktop with Web Interface
By netCUBED
This product has charges associated with it for product support and updates. Connect to a full-featured Ubuntu 22.04 LTS Desktop environment through your browser or natively using a Remote Desktop client. Securely access Jupyter, RStudio Server or a Terminal session directly from your browser. Ships with the latest versions of Google Chrome, Jupyter, RStudio Server, VS Code.
Ubuntu 24.04 Desktop and Analytics Workbench
By netCUBED
Securely access Jupyter notebooks, RStudio Server or a Terminal session from your browser. For additional flexibility, connect to a full-featured Ubuntu 24.04 Desktop environment through your browser or a native client. Ships with the latest versions of Google Chrome, Visual Studio Code, Docker.
BMLL Data Lab
By BMLL Technologies
The BMLL Data Lab is a Python research sandbox that allows you to take the most granular order book data available and combine it with easy-to-use APIs and analytics libraries in a secure cloud environment. Users can perform scalable research without the burden of data sourcing, data curation or data engineering.
Customer reviews
No customer reviews yet
Be the first to write a review for this product.