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Weka

Weka 2026: Benefits, Features & Pricing

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On this page
  • Overview
  • Pricing and Plans
  • Features
  • User Reviews

Overview

Weka
Weka
4.4
(15)

Pricing

Pricing available upon request

About Weka

Weka is an open-source machine learning algorithm for data mining tasks that can either be applied directly to a dataset or called from existing Java code. The system contains tools for data pre-processing, regression, classification, clustering, visualization and association rules. It is well-suited for developing new machine learning schemes.

Weka allows users to perform attribute selection using meta-classifiers, filters and attribute selection classes. The application enables individuals to use transactional data stored in databases by utilizing transaction ID as the primary key. It also lets teams customize the background color of the plots by defining and setting the colors in the interface.

Weka Screenshots

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Weka Pricing and Plans

Starting price: Pricing available upon request
Free Trial
Free Version

Basic

Pricing available upon request

No plan information available

    Weka Features

    • Popular features found in Machine Learning
      Data Import/Export
      Data Visualization
      Deep Learning
      Natural Language Processing
      Predictive Modeling
    • More features of Weka
      Data Capture and Transfer
      Data Connectors
      ML Algorithm Library
      Multiple Data Sources
      Predictive Analytics

    Weka User Reviews

    Overall Rating

    4.4

    Ratings Breakdown

    5

    47%

    4

    47%

    3

    7%

    2

    0%

    1

    0%

    Secondary Ratings

    Ease of Use

    4.1

    Value for money

    4.3

    Customer support

    3.9

    Functionality

    4.3

    Chaya's profile

    Chaya W.

    Verified reviewer

    Computer Software

    51-200 employees

    Used daily for more than 2 years

    Review source

    Reviewed January 2019

    Weka - Easy of mining data sets

    4

    Weka is one of the main tools used for data mining .Weka provides large number of data mining algorithms for the users which helps the users to try any type of data mining technique through one software product. Also it provides data preprocessing facility which helps to format the data set.

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    Pros:
    Weka Waikato Environment for Knowledge Analysis is a data mining tool which helps the users to analyze the data sets and identify patterns and make decision based on them. Weka provides data visualization and large number of algorithms which helps to analyze the data sets. Users are given the facility to import data sets through different data types.csv (Comma separated Values) files, data base files Weka is a freely available software tool which can be downloaded through internet with out making any specific payment. Weka provides functions for data preprocessing. Using Weka users can mange null values ,deal with different data types and format data ranges easily .Preprocessing of large data sets can be easily done in Weka when considering the other data mining tools. Weka is not for a particular data mining process. Using Weka users can try data mining techniques like clustering ,classification ,regression. All these techniques are provided in this one tool
    Cons:
    Weka is implemented in java. In order to use Weka users need to have a certain knowledge about it. Once a user is given proper guidance or proper guidelines user may carry out the process with out any issue. But there must be a guidance with out proper instructions it is difficult to work on Weka. It is not easy to connect Weka with a separately developed user interface .It does not support all the IDEs .Weka supports only few java based IDEs like eclipse. Yet still it takes lengthy and complex coding to connect Weka with a user interface developed by any other IDE when comparing to the other tools.

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    VR

    Verified
    Reviewer

    Computer Software

    11-50 employees

    Used weekly for more than 2 years

    Review source

    Reviewed August 2022

    Very useful in performance matrics evaluation

    5

    Excellent as well as user friendly weka environment

    Ratings Breakdown

    5
    Ease of use
    5
    Value for money
    5
    Customer support
    5
    Functionality
    icon
    Pros:
    It can easily be integrated with other tools. I worked on antminer tool based on java.. i called weka tool from eclipse ide java program. My results are given as input to weka tool and i got desired output in my proposed ant colony optimization algorithm
    Cons:
    Upto now... I am not able to find its cons.

    Reasons for switching to Weka

    Every time i have to see open source library dependencies which consume time

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    SR

    Swetha R.

    Verified reviewer

    Information Technology and Services

    Used other for less than 2 years

    Review source

    Reviewed February 2018

    Great application, Easy to use, less resources for learning, needs more documentation

    3

    I could learn the basics of Data Mining and Data Warehousing with this software. It helped build the basics. I could explore a lot of things in the application very easily because of the ease of its usage. It should be a definite stepping stone for each and every student who is new to the world of data science.

    Ratings Breakdown

    4
    Ease of use
    3
    Value for money
    3
    Customer support
    4
    Functionality
    icon
    Pros:
    Weka was the first tool I had used for Data Mining. It's a good tool with all the bare minimum functionalities for any student. It provides as a great source of learning and exploration. As a student, I loved working with this software and writing reports of my findings. The machine learning algorithms that can be implemented with this software are also very easy to understand. Modifications and tweeking of the data and playing around with the input and being able to visualize it is a bonus.
    Cons:
    This software has very less documentation and support available online. Not many people have been using it. It needs more acceptance in the Data Mining industry, especially for introducing these tools to the students. It proves to be a very good resource and learning experience as seen in my case as well as my classmates.

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    Mihitha's profile

    Mihitha D.

    Verified reviewer

    Computer Software

    201-500 employees

    Used monthly for less than 2 years

    Review source

    Reviewed February 2019

    best way to data mine and get graphically

    4

    Overall experience with weka is good. first I worked with weka for my university assignments. At that time I am not familiar with that. but in very small time period I was able to work with this environment because it is easy for handle. It gives very clear graphical details and those graphical details are very attractive. weka is the best software to do data mining.

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    Pros:
    We can use this as very easily for designe data mining algorithms. This software gives very clearly graphical out puts. Very easy to work with software because there is no anything have to do very hard. it is user friendly also. It helps to user solve their problems and get quality predictions. no any breaking points. as well as there a re no any kind of mistakes. This software is very helpfull to me for do my datamining tasks. as a student and a employee.
    Cons:
    This software is mainly use for data mining using algorithms. So at that time if we can create this much more user friendly that is the best this ever do. But now also there is no big issue with that.

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    VR

    Verified
    Reviewer

    Research

    201-500 employees

    Used weekly for less than 2 years

    Review source

    Reviewed September 2019

    Useful and free

    4

    I first used Weka during my machine learning class and then I used it again every time I wanted to do data analysis without writing code from scratch.

    Ratings Breakdown

    4
    Ease of use
    4
    Functionality
    icon
    Pros:
    It is a free software for data analysis and machine learning. It is a must for students and researchers who want to learn. Very rich documentation (both written and video).
    Cons:
    I had a very hard time integrating Weka with python, although it is possible to do so. Once done it works fine though. Maybe not the most suitable solution for enterprise use. It is written in Java.

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    VR

    Verified
    Reviewer

    Insurance

    11-50 employees

    Used daily for less than 6 months

    Review source

    Reviewed June 2018

    My first mining tool

    5

    learning data mining.

    Ratings Breakdown

    3
    Ease of use
    3
    Value for money
    2
    Customer support
    4
    Functionality
    icon
    Pros:
    Had to proof a theory in data mining using Weka in my studies. This software thought me a lot about the subject when implementing as a university project a data mining algorithm. The result were reproducible on another software, but the my theory was learned and refine using Weka.
    Cons:
    Limited literature available and online support in case of issue. This took a lot of time to pass in order to enjoy the software functionality. But this is common in data mining software.

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    XS

    Xiaojun S.

    Verified reviewer

    Used weekly for more than 2 years

    Review source

    Reviewed April 2018

    I taught Weka in a graduate course called Business Analytics.

    5

    Weka is free and powerful. I used it to illustrate data mining concepts.

    Ratings Breakdown

    4
    Ease of use
    5
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    Pros:
    Weka is powerful and easy to use data mining software. Currently, it is open source. The free online courses associated with Weka are very valuable.
    Cons:
    The file format for Weka is not very popular. There is a learning curve. An intelligent assistant system would be very useful to help people understand errors.

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    JW

    Jared W.

    Verified reviewer

    Research

    10000+ employees

    Used monthly for more than 2 years

    Review source

    Reviewed September 2018

    Perfect free tool for teaching intro to machine learning

    4

    Perfect learning tool for teaching students!

    Ratings Breakdown

    5
    Ease of use
    4
    Functionality
    icon
    Pros:
    Weka is a program developed by academic and is free to use, which is great because I use it to teach the basics of machine learning to my computational social science students. Its simple interface is easy for them to use, and the different types of analyses to choose from, like decision trees, are great for them to learn from.
    Cons:
    I wish the regression analysis would give p values. But then again, if I am going to do regression then I will use Stata. That is not the focus of this software, so it's not a big deal.

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    VR

    Verified
    Reviewer

    Media Production

    11-50 employees

    Used monthly for less than 2 years

    Review source

    Reviewed September 2018

    The big data analyser

    5

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    Pros:
    Major benefits from this software was the ease to analyse clusters and classify data. Understanding the uses of various data sets and the ease of excel sheets i.e. .arff files. Loved it...
    Cons:
    Can be much more user friendly in terms of the way it operates. Many a times many functions are deactivated as bugs...

    Read More

    VR

    Verified
    Reviewer

    Computer & Network Security

    Self-Employed

    Used weekly for free trial

    Review source

    Reviewed November 2019

    Weka Review

    4

    Ratings Breakdown

    2
    Ease of use
    4
    Value for money
    5
    Customer support
    4
    Functionality
    icon
    Pros:
    It is written in Java, hence can run on any modern computing platform and it usable for open source and Linux users.
    Cons:
    It could have a simpler menu for graphic depiction of the data analysis.

    Read More

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