Weka

Weka is ranked #8 of 35 in predictive analytics software on The Geeks Club. It runs on API, Linux, macOS, Windows. There is a free plan.

Weka plans and pricing

All plans

Weka 3.9 Development Free Development version; may include features that break compatibility with earlier releases waikato.github.io · 3 Oct 2026

Weka 3.8 Stable Free Open-source software under the GNU General Public License weka.waikato.ac.nz · 3 Oct 2026

Compared on predictive analytics software

Free plan: Yes
Forecasting workflows: Yes
Model evaluation: Yes
Automated machine learning: Yes
Deployment mode: batch
Time-series modeling: Yes
API access: Yes

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Weka

Purpose: Weka is open-source machine learning software issued under the GNU General Public License.
Release versions: Weka 3.8 is the latest stable version and Weka 3.9 is the development version.
Stable updates: The stable version receives bug fixes and feature upgrades that do not break compatibility with earlier releases.
Extensibility: Weka 3.8 and 3.9 include a package manager for community-added functionality, and downloading and installing packages requires an internet connection.
Desktop platforms: Downloads are listed for Windows, Mac OS, and Linux, with Intel and ARM options for each.
Java requirement: The latest official Weka releases require Java 8 or later.
Programming interface: Weka provides a Java API, and its documentation includes Javadoc for API and command-line parameters.
Notebook use: The Weka API guide says Weka can also be used through Jupyter notebooks.
Included documentation: Weka includes built-in help and a comprehensive manual.
Community support: The project directs users to documentation, mailing list archives, community forums, and a mailing list for help and bug reports.
Commercial licensing: Distributed derivative works must be licensed under the GPL; an appropriate license may be available for commercial projects that need to distribute Weka code in a non-GPL program.
Compatibility limit: Serialized Weka models created in version 3.7 are incompatible with version 3.8, and the documented migrator has at least one exception: RandomForest.
Headquarters: Hamilton, New Zealand
Price from: Free

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Where it ranks on The Geeks Club

Best Predictive Analytics Software in 2026#8 of 35

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Sources

weka.waikato.ac.nz/weka/index.html· checked 3 Oct 2026
waikato.github.io/weka-wiki/downloading_weka/· checked 3 Oct 2026
waikato.github.io/weka-wiki/requirements/· checked 3 Oct 2026
waikato.github.io/weka-wiki/documentation/· checked 3 Oct 2026
waikato.github.io/weka-wiki/using_the_api/· checked 3 Oct 2026
waikato.github.io/weka-wiki/getting_help/· checked 3 Oct 2026
waikato.github.io/weka-wiki/faqs/commercial_applications/· checked 3 Oct 2026