Sold by: RRecktek
Deployed on AWS
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Secure, complete, optimized R and Python analysis with provenance-tracked memory
5
Overview
Optimized and complete data analysis environment in R and Python with a provenance-tracked analytical memory. R 4.5.1 built from source against OpenBLAS 0.3.29 with runtime CPU dispatch, 825 installed packages including the Bioconductor genomics stack, RStudio Server, Shiny Server and Python 3.12 with numpy, scipy, pandas, scikit-learn and statsmodels wired to R via reticulate. Ships a bundled PostgreSQL with pgvector carrying pmem and hivemind, so analyses are recorded with their lineage and can be superseded without losing history. Runs entirely offline. All services bind to localhost and are reached over SSH.
Highlights
- R 4.5.1 with OpenBLAS 0.3.29 and runtime CPU dispatch. 825 packages including the Bioconductor genomics stack, RStudio Server, Shiny Server and Python 3.12.
- Provenance-tracked analytical memory: record a result with its lineage, supersede a conclusion without destroying what it replaced, and retrieve by meaning.
- Self-contained and offline. Bundled PostgreSQL with pgvector. Every service binds to localhost; access is over SSH with your own key.
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 15 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 |
|---|---|
m4.xlarge Recommended | $2.254 |
t2.micro | $1.00 |
i2.4xlarge | $2.00 |
g2.2xlarge | $2.00 |
hs1.8xlarge | $2.00 |
m3.large | $2.00 |
m4.4xlarge | $1.70 |
i2.2xlarge | $2.00 |
r3.xlarge | $2.00 |
i2.8xlarge | $2.00 |
Dimensions summary
You pay by the hour for the software running on your chosen EC2 instance type. Each dimension maps to a specific instance size, so there are no tiers or plans to select. Pricing scales with the compute capacity you pick. Smaller instances like t2.micro and t2.small serve light workloads. Memory-optimized (r3), compute-optimized (c3, c4), storage-dense (d2, hs1), GPU (g2, cg1), and I/O-focused (i2, hi1) families handle heavier processing. You are billed only for the hours the instance runs. Choose the family and size that fits your workload's linear algebra or data needs.
Top-of-mind questions for buyers
Hourly software charges apply only while the instance runs. Stopped or paused instances do not accrue software charges. Note that AWS may still bill for underlying storage attached to a stopped instance, but the software meter counts running hours only.
The software runs on statistical and matrix-heavy analytics. Work dominated by linear algebra, such as genomics or large regressions, benefits from more compute and memory. Loop and text processing gains little from bigger instances. Match the family and size to how much of your pipeline is math versus data handling.
Each dimension maps to one instance type at its own hourly rate. Moving to a larger instance means a higher hourly rate while it runs. The change is not automatic. You launch the new instance type yourself, and billing follows the type you actually run.
www.predictiveanalyticsframework.com
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Vendor refund policy
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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
Additional details
Usage instructions
Connect over SSH with the key pair you selected at launch: ssh -i /path/my-key-pair.pem ubuntu@<public-dns> The SSH username is "ubuntu".
Every service binds to localhost and none is exposed to the network. Reach them over an SSH tunnel. RStudio Server: ssh -i /path/my-key-pair.pem -L 8787:127.0.0.1:8787 ubuntu@<public-dns> then open http://localhost:8787 . Shiny Server is on 3838 and the pmem API on 8130; tunnel them the same way.
The RStudio password is generated uniquely on this instance at first boot and is readable only by root on the instance. Retrieve it with: sudo cat /var/lib/paf/rstudio-credentials
PAF with hivemind runs a provenance-tracked analytical memory (pmem) on a bundled PostgreSQL. Documentation is on the instance under /opt/paf/docs.
Support
Vendor support
Support: https://github.com/rreck Email support@rrecktek.com . Please allow 24 hours for a response.
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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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
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AI generated from product descriptions
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
Integrated Development Environment
RStudio Server provides an integrated development environment for R programming language with support for statistical computing, data analysis, and graphical visualization.
Pre-installed R Packages
Includes thousands of pre-installed R packages spanning multiple domains including data science, machine learning, econometrics, Bayesian statistics, natural language processing, genomics, and optimization.
Encryption and Secure Communications
HTTPS encryption enabled for all data transmission between client and server, with automatic HTTP to HTTPS redirection and self-signed certificate implementation.
Web-based Access
RStudio Server accessible via web browser using public IP address with default authentication credentials.
N-Dimensional Array Processing
Provides comprehensive mathematical functions and linear algebra routines for handling n-dimensional arrays
Data Analysis and Manipulation
Open-source data analysis and manipulation tool built on Python programming language
Machine Learning Capabilities
Supports supervised and unsupervised learning with tools for model fitting, data preprocessing, model selection, and model evaluation
Web Interface for Model Demonstration
Enables creation of machine learning model demos with a friendly web interface using Python
Standard contract
No
Customer reviews
Omer
Excellent service
Reviewed on Apr 08, 2020
Review from a verified AWS customer
This allowed me to immediately get a dashboard up without having to build out the environment
or be lost in the details. It also had the latest versions of things which was a great plus
Martins
Great Support
Reviewed on Jan 24, 2017
Review from a verified AWS customer
RRecktek is providing great and very responsive support. We solved all technical problems over chat. At the end I got the Predictive Analytics Framework running.
OneConnxt
Delivers perfectly
Reviewed on Jan 23, 2017
Review from a verified AWS customer
This allows us to provide a consistent environment for
out-sourced developers. We are happy with the value it
provides as it saves us both time and money. We will
continue to use it.
H. Roland
When on one else could deliiver
Reviewed on Jan 28, 2015
Review from a verified AWS customer
We approached rrecktek with a proprietary use case, that we could not find anyone else, who even understood what we were trying to acheive. Not only did rrecktek understand, through the use of their software solutions, our use case is delivering to our projections. And, the visualization support is fantastic. Now, we are getting a lot of WOWs. rrecktek is now our "goto" company for our predictive needs.
Anil Dwivedi
value based solutions
Reviewed on Jan 27, 2015
Review from a verified AWS customer
i have been using components of this rrecktek software solution for more than 2.5 years for my business and am happy with the value it provides. I will continue to use it.