Weka
Weka: A capable free desktop toolkit for modeling, forecasting, and evaluation. Ranked #24 of 38 in Predictive Analytics Software by our editors (7.0/10); pricing: Free plan; best for free desktop predictive modeling and forecasting.
At a glance
- Editor score7.0 / 10
- PricingFree plan
- Best forFree desktop predictive modeling and forecasting
- Free planYes
- Paid fromFree
- Forecasting workflowsYes
- Facts checked20 Sep 2026
Where it wins
- Free open-source tools for preparation, modeling, and evaluation
- Supports graphical, command-line, and Java API workflows
- Runs on Windows, macOS, and Linux with R, Spark, and MongoDB integrations
Where it doesn't
- Primarily a desktop application rather than a hosted analytics service
- Batch deployment is the published deployment mode
- Some forecasting and Auto-WEKA capabilities require official packages
Our verdict on Weka
Weka is an open-source Java machine-learning workbench from the University of Waikato for researchers, educators, students, and developers who want a local environment for predictive modeling. It brings together data preparation, classification, regression, clustering, association-rule mining, visualization, cross-validation, model evaluation, and time-series prediction. Multiple access options—graphical interfaces, command-line tools, and Java APIs—make it suitable for both exploratory work and development workflows. It runs on Windows, macOS, and Linux, with integrations for R, Apache Spark, and MongoDB.
Its breadth is a major strength for a free desktop tool. The core workflow covers preparing data, training several major model families, inspecting results, and evaluating performance in one environment. The package-management system extends that scope with optional algorithms and workflows, including time-series forecasting and Auto-WEKA. That structure gives technical users room to adapt the environment, while the combination of visual and programmatic access supports different levels of experience. Buyers seeking a broad educational, research, or local modeling toolkit should find the feature mix well aligned with those needs.
The main trade-off is platform shape. Weka is distributed as desktop Java software rather than as a hosted predictive-analytics platform, and the published deployment mode is batch. Forecasting and automated machine-learning workflows also depend on official packages rather than necessarily belonging to the minimal core installation. Organizations that need a hosted service or deployment patterns beyond batch should consider a different category of product. Weka is the clearer choice for free, extensible desktop modeling, evaluation, and forecasting across major operating systems.
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Weka pricing
Weka fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Forecasting workflows | Yes |
| Model evaluation | Yes |
| Automated machine learning | Yes |
| Deployment mode | Batch |
| Time-series modeling | Yes |
| Data connectors | Not verified |
| API access | Yes |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Integrations | 3 integrations: R, Apache Spark, MongoDB |
| Pricing | Free plan |
| Website | weka.waikato.ac.nz |
| Facts checked | 20 Sep 2026 |
Weka integrations
Weka lists 3 integrations on its own site.
- R
- Apache Spark
- MongoDB
Alternatives to Weka
- SAS ViyaA broad, governed analytics platform for operational predictive decisioning.9.4
- SAS Advanced AnalyticsA broad enterprise platform for forecasting, machine learning, and governed model deployment.9.1
- Azure Machine LearningA broad managed ML lifecycle service, particularly suited to teams already working in Azure.9.0
Also Ranked In
Weka is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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