KEEL

5.5easy start · #23 of 32
in Data Science Platforms

Free to practise onnot on record
Free trialnot on record
Well documentednot on record
Runs where you worknot on record

Runs on Linux, Mac, Windows.

KEEL is ranked #23 of 32 in data science platforms on The Geeks Club. It runs on Linux, macOS, Windows. There is a free plan.

KEEL plans and pricing

All plans

KEEL Free Free software under GPLv3 sci2s.ugr.es · 5 Oct 2026

Compared on data science platforms

Free plan: Yes
Hosted notebooks: No
Deployment options: self_hosted

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The record

Purpose: KEEL is a Java software suite for data mining tasks including regression, classification, clustering, and pattern mining.
Algorithms: The site lists 518 algorithms, including data preprocessing and classification algorithms.
Preprocessing: KEEL includes preprocessing methods for transformation, discretization, instance and feature selection, and noise filtering.
Experiment design: Its graphical interface lets users design experiments with multiple datasets and algorithms and generates files to run experiments offline on a machine with a Java Virtual Machine.
Statistical analysis: KEEL includes a statistical library and parametric and nonparametric tests for comparing algorithm results.
Data import: The manual says KEEL can convert datasets from CSV, ARFF, or plain text formats into KEEL format.
Modules: The suite includes modules for imbalanced learning, nonparametric statistical analysis, semi-supervised learning, and multiple instance learning.
Datasets: The download page says the software includes a basic dataset package and links to a repository with more than 600 datasets.
Download: The download page offers the source code and a binary version for release 3.0 dated 2018-04-09.
Runtime: KEEL requires a Java Virtual Machine; the reference manual says JVM version 1.7 or later should run the graphical interface and included algorithms.
Supported systems: The KEEL 3.0 paper states it can be used on Windows, Linux, and Mac OS X with Java 7 or later.
Security and license: The download page identifies KEEL as open-source software licensed under GPLv3.
Integration: The download page links to documentation for integrating new algorithms into KEEL.
Audience: The site describes KEEL as designed for research and education.
Price from: Free

Where it ranks on The Geeks Club

Best Data Science Platforms in 2026#23 of 32

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Sources

sci2s.ugr.es/keel/development.php· checked 5 Oct 2026
sci2s.ugr.es/keel/algorithms.php· checked 5 Oct 2026
sci2s.ugr.es/keel/download.php· checked 5 Oct 2026
sci2s.ugr.es/keel/pdf/keel/articulo/triguero-et-al-K· checked 5 Oct 2026
sci2s.ugr.es/keel/index.php· checked 5 Oct 2026
sci2s.ugr.es/keel/members.php· checked 5 Oct 2026