Datumbox

The Datumbox framework is written in Java for developing machine learning and statistical applications.

github.com/datumbox/datumbox-framework
Datumbox homepage screenshot

About Datumbox

Datumbox is an open-source Java framework for developing machine learning and statistical applications. It provides statistical tests, ANOVA, clustering, regression, dimension reduction, timeseries analysis, and classifiers such as Naive Bayes, SVM and Max Entropy, and is designed to handle large-sized datasets. Separate pre-trained models are available for tasks including sentiment analysis, spam detection and language detection.

The framework is in Alpha, with expected changes to public APIs and uneven testing across classes. It is distributed via Maven Central and does not support use from the command line or from other languages.

Key features

  • Parametric and non-parametric statistical tests and ANOVA
  • Descriptive statistics for censored and uncensored data
  • Clustering with K-means, hierarchical clustering and Dirichlet process mixtures
  • Regression methods including linear, stepwise, softmax and ordinal regression
  • Classification with Naive Bayes, SVM and Max Entropy
  • Pre-trained models for sentiment, spam, language and topic detection
Best for: Java developers building machine learning and statistical applications with a code library.
Good for
  • Open-source code licensed under Apache License, Version 2.0
  • Distributed via Maven Central with stable and snapshot versions
  • Includes Javadoc comments and JUnit tests showing model training and use
Watch out for
  • In Alpha version with expected changes to public APIs
  • Not all classes are equally used or tested
  • Missing ability to use it from command line or other languages

Datumbox at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Datumbox FAQ

How do I use the stable version?
Add datumbox-framework-lib version 0.8.2 from Maven Central to the pom.xml. The master branch holds the stable code and the develop branch holds development code.
Where are the pre-trained models?
Binary models for sentiment analysis, spam detection, language detection and other text tasks are available through the Datumbox Zoo.
Can I use Datumbox from the command line or another language?
No. The source lists command-line or other-language use as a missing feature.
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