The goro project provides a high level machine learning library written for Go.
Datumbox
The Datumbox framework is written in Java for developing machine learning and statistical applications.

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
- 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
- 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?
Where are the pre-trained models?
Can I use Datumbox from the command line or another language?
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