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Weka

Weka

University of Waikato

Weka is a collection of machine learning algorithms for data mining tasks.

Updated 3h ago
Open SourceData Analysisโšก 49

About Weka

Weka is open-source machine learning software developed and maintained by the University of Waikato (New Zealand), providing a graphical workbench for applying data-mining algorithms โ€” classification, regression, and clustering โ€” to real datasets. It supports data preprocessing and visualization directly in the workbench interface, runs cross-platform as Java-based software, and comes with comprehensive documentation and educational resources maintained through an active Git repository, courses, and an FAQ section. The software is completely free under the GNU General Public License; commercial licenses are available separately for organizations with specific licensing needs. Good fit for a student or researcher learning machine learning and data mining concepts through a visual workbench, or anyone who wants to apply standard ML algorithms to a dataset without writing code from scratch.

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Key Information

Pricing
Open Source
Free Trial
No
API Access
No
Open Source
Yes
Category
Data Analysis
Developer
University of Waikato
Last Updated
3h ago
Website Status
Online
Documentation
View Docs

Features

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

Pricing

Open Source
This tool is open source and free to use or modify.

Free tier available

Pros and Cons

Pros

Free to use

Reviews & Ratings

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0 reviews

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Frequently Asked Questions

Weka is open source and free to use.

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