Weka

What it does

Weka is a Java machine-learning workbench for students, researchers and data practitioners. Its Explorer interface supports loading data, preprocessing attributes, training classification or regression models, clustering, association-rule discovery, attribute selection and visualization. Users can compare models and inspect evaluation results, including cross-validation, while Java APIs and command-line interfaces support repeatable workflows and integration into other programs.

Download the package matching Windows, macOS or Linux and the machine’s processor. Some installers bundle Java; archive-based installations require a suitable runtime. Weka 3.8 is the stable branch and 3.9 the development branch. Load a dataset, choose preprocessing and learning methods, then evaluate results before applying a model to new records. The software is available under the GPL; redistributing it in incompatible proprietary software may require a separately purchased license from the relevant copyright holders. Additional packages need an internet connection, and data quality and evaluation design remain the user’s responsibility.

What it can do

• Preprocess datasets and attributes
• Train classification and regression models
• Cluster records and discover association rules
• Select useful attributes
• Evaluate models with cross-validation
• Visualize data and model results

Before you choose

• Weka 3.9 is the development version and may include changes that break compatibility; Weka 3.8 is the stable branch.
• The package manager needs an internet connection to download and install packages.
• GPL redistribution obligations apply; incompatible proprietary redistribution may require a separate commercial license.

Listed under

• Data
• Data mining
• Desktop
• Education
• Java
• Machine learning
• Open source

Get started

1. Choose the stable Weka 3.8 branch or the development 3.9 branch from the official download guide.
2. Download the installer or archive matching your operating system and processor; use the included Java runtime where provided.
3. Install or extract Weka and launch it using the platform-specific instructions; connect to the internet if installing packages.

The downloadable software is GPL-licensed. A separate commercial license may be purchasable for redistribution that cannot comply with the GPL; terms and fees require confirmation.

Source: ml.cms.waikato.ac.nz/weka, checked 1 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• Weka 3 - Data Mining with Open Source Machine Learning Software in Java ↗ml.cms.waikato.ac.nz
• Downloading and installing Weka - Weka Wiki ↗waikato.github.io
• Weka 3 - Data Mining with Open Source Machine Learning Software in Java ↗ml.cms.waikato.ac.nz
• Commercial applications - Weka Wiki ↗waikato.github.io
• Hamilton and Tauranga | University of Waikato ↗www.waikato.ac.nz
• Documentation - Weka Wiki ↗waikato.github.io

Company website

ml.cms.waikato.ac.nz: product, pricing and policy pages

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Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.