Vetted Score
4.7
/ 5.0
Weka earns a high score for its rich algorithm set, cross‑platform Java foundation, and strong academic community, despite a dated UI.
Key Features
Extensive Algorithm Library
Provides over 200 machine learning algorithms for classification, regression, clustering, and feature selection.
User‑Friendly GUI and CLI
Offers an intuitive graphical interface for point‑and‑click analysis and a command‑line for scripting and automation.
Java API & Integration
Fully programmable via Java API and supports integration with Python, R, and other languages through wrappers.
Frequently Asked Questions
Yes, Weka is released under the GPL license and can be used at no cost for both personal and commercial projects.
Weka runs on any system with Java, including Windows, macOS, and Linux.
Yes, through packages like python-weka-wrapper and Rweka, you can call Weka's algorithms from Python or R scripts.
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Specifications
Pricing Model
100% Free and Open Source under the GPL; no paid or enterprise tiers.
Supported Platforms
WindowsmacOSLinuxJava (cross‑platform)