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Infer.NET vs Weka
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through customized solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others. | Weka is a collection of machine learning algorithms for data mining tasks. | |
| Category | |||
| Developer | Microsoft Research / .NET Foundation | University of Waikato | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Open Source | Open Source | |
| Free Plan | Yes | Yes | |
| Free Trial | No | No | |
| Open Source | Yes | Yes | |
| Capabilities | |||
| API Access | No | No | |
| Features | • Bayesian inference for graphical models • Built-in Bayes Point Machine classifiers • Matchbox recommender system • Probabilistic programming support • Available via GitHub and NuGet • Free and open source (MIT, .NET Foundation) | • Graphical workbench for ML and data mining • Classification, regression, and clustering algorithms • Built-in data preprocessing and visualization • Cross-platform, Java-based • Educational courses and documentation • Free (GPL); commercial licenses available | |
| Tags | inferproblemsmanyframeworkrunningbayesian | wekacollectionmachinelearningalgorithmsdata | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 6 | 11 | |
| Quality Score | 37/100 | 49/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | dotnet.github.io | www.cs.waikato.ac.nz | |
| Social Links | 1 linked | — | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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