Overview
This is a repackaged open source software product wherein additional charges apply for support and maintenance by Hfami.
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality.
Miniconda is a free minimal installer for conda. It is a small bootstrap version of Anaconda that includes only conda, Python, the packages they both depend on, and a small number of other useful packages (like pip, zlib, and a few others).
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable.
Highlights
- Easily create and manage isolated environments with different Python versions and packages.
- Flexibly build your environment from the ground up, adding only the packages you need.
- An interactive console for running code and inspecting results
Details
Typical total price
$0.01/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.00 | $0.012 | $0.012 |
t2.small | $0.039 | $0.023 | $0.062 |
t2.medium | $0.039 | $0.046 | $0.085 |
t2.large | $0.039 | $0.093 | $0.132 |
t2.xlarge | $0.039 | $0.186 | $0.225 |
t2.2xlarge | $0.039 | $0.371 | $0.41 |
t3.micro AWS Free Tier Recommended | $0.00 | $0.01 | $0.01 |
t3.small | $0.039 | $0.021 | $0.06 |
t3.medium | $0.039 | $0.042 | $0.081 |
t3.large | $0.039 | $0.083 | $0.122 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
For this offering, HFAMI does not offer refund, you may cancel at anytime.
Legal
Vendor terms and conditions
Content disclaimer
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
Update to latest
Additional details
Usage instructions
Usage Instructions:
1.Starting the Jupyter Lab Server: The Jupyter Lab server automatically starts on HTTPS port 8888. The default password is the EC2 instance ID, which you can find in the EC2 dashboard (e.g., i-0b1234567c7473). To manage the Jupyter Lab service, use the following commands: Start the service: sudo systemctl start jupyter.service Restart the service: sudo systemctl restart jupyter.service Stop the service: sudo systemctl stop jupyter.service Working Directory: The Jupyter Lab server's working directory is /mnt/workspace.
2.Connecting to Your Linux Instance: Connect to your Linux instance via port 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/connect-to-linux-instance.html Sign-in credentials: Username: ubuntu
Support
Vendor support
Email support is available directly at support@hfami.info
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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