Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions.The original non-Java version of Weka was a Tcl/Tk front-end to (mostly third-party) modeling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a Makefile-based system for running machine learning experiments. This original version was primarily designed as a tool for analyzing data from agricultural domains,but the more recent fully Java-based version (Weka 3), for which development started in 1997, is now used in many different application areas, in particular for educational purposes and research. 

Advantages of Weka include: 

• Free availability under the GNU General Public License.
• Portability, since it is fully implemented in the Java programming language and thus runs on almost any modern computing platform.
• A comprehensive collection of data preprocessing and modeling techniques.
• Ease of use due to its graphical user interfaces.

Weka supports several standard data mining tasks, more specifically, data preprocessing, clustering, classification, regression, visualization, and feature selection. All of Weka's techniques are predicated on the assumption that the data is available as one flat file or relation, where each data point is described by a fixed number of attributes (normally, numeric or nominal attributes, but some other attribute types are also supported).It is not capable of multi-relational data mining, but there is separate software for converting a collection of linked database tables into a single table that is suitable for processing using Weka.Another important area that is currently not covered by the algorithms included in the Weka distribution is sequence modeling. 

There are two versions of Weka: Weka 3.8 is the latest stable version and Weka 3.9 is the development version. New releases of these two versions are normally made once or twice a year. For the bleeding edge, it is also possible to download nightly snapshots of these two versions.

The stable version receives only bug fixes and feature upgrades that do not break compatibility with its earlier releases, while the development version may receive new features that break compatibility with its earlier releases.

Weka 3.8 and 3.9 feature a package management system that makes it easy for the Weka community to add new functionality to Weka. The package management system requires an internet connection in order to download and install packages.

Snapshots
Every night, a snapshot of the Subversion repository with the Weka source code is taken, compiled, and put together in ZIP files. This happens for both the development branch of the software and the stable branch. Those who want the latest bug fixes before the next official release is made can download these snapshots.

Stable version
Weka 3.8 is the latest stable version of Weka. This branch of Weka only receives bug fixes and upgrades that do not break compatibility with earlier 3.8 releases, although major new features may become available in packages. There are different options for downloading and installing it on your system:

Windows
Click here to download a self-extracting executable for 64-bit Windows that includes Azul's 64-bit OpenJDK Java VM 11 (weka-3-8-4-azul-zulu-windows.exe; 118 MB)

This executable will install Weka in your Program Menu. Launching via the Program Menu or shortcuts will automatically use the included JVM to run Weka.

Mac OS
Click here to download a disk image for Mac OS that contains a Mac application including Azul's 64-bit OpenJDK Java VM 11 (weka-3-8-4-azul-zulu-osx.dmg; 144 MB)

Linux
Click here to download a zip archive for Linux that includes Azul's 64-bit OpenJDK Java VM 11 (weka-3-8-4-azul-zulu-linux.zip; 129 MB)

Other platforms
Click here to download a zip archive containing Weka (weka-3-8-4.zip; 53 MB)

Specifications

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