WE

Weka

Weka (Waikato Environment for Knowledge Analysis) is an open-source software tool developed by the University of Waikato for data mining and machine learning. It provides a comprehensive suite of tools for data analysis and predictive modeling, including classification, regression, clustering, association rule mining, and visualization. Weka is widely used in academia, research, and industry for teaching and applying machine learning techniques.
Latest: 3.9.6
Last checked: Mar 7, 2026 5:02pm
Rank: 2844/15140
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Overview

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License: GNU General Public License (Open Source)Winget: Available

Version & Lifecycle

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Current: 3.9.6 Avg cadence: Every 560 days

Top Contributors

Top sitewide contributors:

  1. Anbarasan
  2. nico_k
  3. Bob
  4. Vigneshwaran

Community Notes

Deployment tip • May 16, 2026
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Weka managed update/source note

Close Weka before running a managed Windows update. The Windows EXE update can return Exit Code 1 when Weka is still open, so Intune, ConfigMgr, RMM, or software-center packages should use a Weka-specific conflicting-process step or schedule the update when users are not running the application.

For packaging and later troubleshooting, keep the installer source tied to the official Weka project/download pages and the SourceForge file area linked by the project. After install or update, validate the expected Weka build starts successfully rather than treating a generic non-zero installer result as interchangeable with other Java desktop apps.

Sources: Weka project home page, Weka download documentation, and official release files.

Release Notes & Updates

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weka