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Deployed on AWS
AWS Free Tier
A pre-configured Jupyter Notebook AMI designed for data science and analytics teams. Instantly deploy a secure Jupyter environment with Docker, SSL, persistent storage, and domain support - all ready to use out of the box.
Overview
This Jupyter Notebook AMI provides a secure, production-ready data science environment in minutes. Built using Docker and the official Jupyter Data Science Notebook stack, it includes Python, common data science libraries, and persistent notebook storage for reliable session recovery.
The image includes fully automated setup scripts that guide you through domain mapping and SSL certificate provisioning using Apache + Certbot. User access is password-protected with secure random credentials stored in the instance environment file.
Ideal for individuals, research teams, training environments, PoCs, and enterprise workflows that require a fast and secure Jupyter deployment on AWS.
Included Features
Jupyter Data Science Notebook with Python and preinstalled libraries
Docker Compose-based orchestration for easy customization
Domain support with automated HTTPS configuration
Automatic secure password generation on first boot
Persistent storage for notebooks and datasets
Highlights
- Secure & Production-Ready: Auto-generated password, HTTPS support, and isolated Docker environment ensure safe remote access.
- Fast Deployment: Launch Jupyter Notebook within minutes, with step-by-step automated setup scripts.
- Persistent Data Storage: Notebooks and data remain intact across reboots thanks to mounted storage volumes.
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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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
This product is available free of charge. Free 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.
Vendor refund policy
This product is currently offered free of charge on AWS Marketplace. Since there are no fees associated with the use of this AMI, refunds are not applicable.
Buyers may cancel use of the product at any time by terminating the associated Amazon EC2 instance.
For any questions or concerns, please contact: Perimattic.com Email: aws@perimattic.comÂ
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)Â .
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
- Initial release of a fully automated Jupyter Notebook environment for AWS EC2.
- Includes official Jupyter Data Science Notebook with preinstalled Python libraries.
- Secure first-boot configuration with auto-generated strong password.
- Persistent notebook and data storage preconfigured using Docker volumes.
- Domain mapping wizard with DNS validation during first setup run.
- Automated SSL certificate provisioning with Certbot for secure HTTPS access.
- Integrated Apache reverse proxy for hardened access to Jupyter over the internet.
- One-command Docker Compose - start, stop, redeploy seamlessly.
- Automatic logging and configuration stored in /opt/app/.env for easy credential recovery.
- Guided onboarding with interactive setup scripts and failsafe rerun support.
Additional details
Usage instructions
- Launch an Instance
From AWS Marketplace, click Continue to Subscribe, then Continue to Configuration, and launch the AMI.
- Choose the Recommended Instance Type
Select t2.medium or higher for a smooth Jupyter Notebook experience.
Data science workloads benefit from more CPU/RAM - larger instance types will significantly improve notebook execution performance and library handling.
- Configure Security Group
Allow inbound traffic on the following ports:
- 22 (SSH) - For secure terminal access
- 80 (HTTP) - Required temporarily for SSL validation
- 443 (HTTPS) - Secure access to Jupyter Notebook in browser
- Connect to the Instance
Use SSH to connect:
ssh -i <your-key.pem> ubuntu@<public-ip>
- First-Boot Setup (Guided)
On first boot, an interactive guided setup will automatically start:
- Detects public IP
- Prompts for the domain name to map Jupyter Notebook
- Validates DNS A-record propagation
- Asks for admin email for SSL certificate issuance
- Generates a secure random Jupyter access password
- Stores credentials securely in /opt/app/.env
- Configures Apache reverse proxy for HTTPS
- Requests and installs a free Let's Encrypt SSL certificate
- Deploys Jupyter Notebook using Docker Compose
- Shows access URL and generated password after completion
- DNS Configuration Required
Before (or during) the setup script, add this DNS A-record: yourdomain.com <your-instance-public-IP> Setup continues only when global DNS resolvers confirm valid mapping.
- Automatic SSL Setup
After DNS validation completes:
- Enables HTTPS access to Jupyter Notebook
- Auto-installs valid TLS certificate from Let's Encrypt
- HTTP access is disabled for security
- Start / Restart Jupyter Manually (if needed)
cd /opt/app docker compose ps docker compose restart
- Access the Jupyter Notebook
Open your browser and visit:
https://<your-domain>
Login credentials (displayed after setup & stored in .env):
- Username: root
- Password: <generated-password>
- Retrieve Credentials Anytime
cat /opt/app/.env
Support
Vendor support
For any assistance or inquiries, our dedicated support team is here to help 24/7. Feel free to reach out to us anytime. Email: aws@perimattic.com We are committed to providing timely and effective solutions to meet your needs.
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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