Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
<p>Weka 3.9.6 on Ubuntu 24.04 with Free Maintenance Support by bCloud.</p><p><strong>Weka Solutions on AWS Marketplace</strong></p><p>AWS Marketplace offers Weka solutions for fast and reliable deployment on Ubuntu 24.04 LTS, optimized for AWS cloud environments. This solution is intended for machine learning experimentation, data mining, and analytical workloads in cloud and hybrid setups.</p><p>Weka is an open source machine learning software suite that provides a collection of algorithms for data preprocessing, classification, regression, clustering, association rules, and visualization. It is commonly used in education, research, and prototyping environments.</p><p>These solutions are optimized to run on AWS infrastructure and can be deployed using Amazon Machine Images (AMIs), enabling consistent environments and faster setup.</p><p><strong>Weka Offering Available on AWS Marketplace</strong></p><p><strong>1. Weka 3.9.6 on Ubuntu 24.04 LTS with Free Maintenance Support</strong></p><p>This offering provides Weka 3.9.6 preinstalled on Ubuntu 24.04 LTS as a repackaged open source software product. Free maintenance support is included to assist with basic operational guidance and updates.</p><p><strong>Main Points</strong></p><ul><li>Preinstalled Weka 3.9.6 on Ubuntu 24.04 LTS</li><li>Supports data preprocessing, modeling, evaluation, and visualization</li><li>Designed for single node and small scale analytical workloads</li><li>Free maintenance support included</li><li>Optimized for deployment on AWS EC2</li></ul><p><strong>Core Technical Benefits of Weka</strong></p><p><strong>Comprehensive Machine Learning Toolkit</strong></p><p>Weka provides a broad set of machine learning algorithms and utilities that allow users to experiment with datasets and models without complex configuration.</p><p><strong>Flexible Usage Modes</strong></p><p>Weka supports graphical and command line execution, allowing both interactive use and scripted workflows depending on user requirements.</p><p><strong>Open Source and Extensible</strong></p><p>Weka is distributed as open source software, allowing users to extend functionality, integrate custom processes, and adapt workflows to specific analytical needs.</p><p><strong>AWS Marketplace Optimized Advantages</strong></p><p><strong>AMI Based Deployment</strong></p><p>Weka is delivered as an Amazon Machine Image (AMI), allowing users to launch a preconfigured environment with repeatable and consistent settings.</p><p><strong>AWS EC2 Ready</strong></p><p>Weka runs on Amazon EC2 and is suitable for:</p><ul><li>Machine learning experimentation</li><li>Academic and research projects</li><li>Data analysis and prototyping</li></ul><p><strong>AWS Service Compatibility</strong></p><p>The solution is compatible with AWS services such as Amazon EC2, Amazon EBS, and Amazon S3 for compute and data storage.</p><p><strong>Consolidated AWS Billing</strong></p><p>All infrastructure usage is billed through AWS, simplifying cost management and procurement.</p><p><strong>Support and Maintenance</strong></p><p>This is a repackaged open source software product. Weka is not affiliated with or endorsed by its original developers. Free maintenance support is provided by the seller. Additional paid support options may be available separately.</p><p><strong>Use Cases</strong></p><p>Weka 3.9.6 on Ubuntu 24.04 LTS is suitable for:</p><ul><li>Machine learning education and training</li><li>Data mining and analytics</li><li>Research and academic workloads</li><li>Model prototyping and evaluation</li><li>Lightweight analytical workloads on AWS</li></ul><p><strong>Technical Highlights</strong></p><ul><li>Weka 3.9.6</li><li>Ubuntu 24.04 LTS</li><li>Open source ML toolkit</li><li>GUI and CLI execution support</li><li>EC2 AMI based deployment</li><li>EBS compatible storage</li><li>Optimized for AWS Cloud Marketplace</li></ul>
Highlights
Highlighted by the publisher on AWS Marketplace.
Data Preprocessing Tools
Visualization Capabilities
Batch Processing Support
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
No Refund
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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