Data Mining Fruitful and Fun

Open source machine learning and data visualization.

Download Orange 3.37.0

Jun 26, 2024

Text Preprocessing: Tips & Tricks

Some tips and tricks for text preprocessing in Orange.

Text Preprocessing: Tips & Tricks

May 30, 2024

Document embeddings vs. Bag of words

When to use document embeddings instead of a bag of words.

Document embeddings vs. Bag of words

May 14, 2024

Orange Data Mining uses the fastest t-SNE implementation in Python

Journal of Statistical Software published a paper describing our state-of-the-art implementation openTSNE.

Orange Data Mining uses the fastest t-SNE implementation in Python

Apr 15, 2024

So Sweet and So Fresh … New Text Mining Tutorial is Out

A step-by-step guide on how to build a classifier to predict food types. Getting the know the widgets Test and Score, Logistic Regression, Confusion Matrix, Predictions.

So Sweet and So Fresh … New Text Mining Tutorial is Out

Visual Programming

No coding needed. Place widgets on the canvas, connect them, load your datasets, and harvest the insight!

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Interactive Data Visualization

Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS, t-SNE and linear projections. Even your multidimensional data can make sense.

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Specialized add-ons can perform natural language processing and text mining, conduct network analysis, do association rules mining, or address fairness in machine learning. Some address specialized data, such as time series, survival data sets, spectra, or gene expressions. Also, check out Orange's cousin Quasar.

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Teach with Orange

When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science. There are even widgets that were especially designed for teaching.

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My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments.  Orange allows me to analyze my data even though I don’t know how to program.  It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees.

Gad Shaulsky, Ph.D.

Molecular biologist and Director of Graduate Studies (Baylor College of Medicine, Houston, USA)

The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data. Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science.

Ferenc Borondics, Ph.D.

Principal beamline scientist at SMIS (SOLEIL synchrotron, France)

I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers. Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses. Most of our attendees have been able to incorporate this tool in their research practice.

Francesca Vitali, Ph.D.

Research Assistant Professor (Center for Biomedical Informatics & Biostatistics, The University of Arizona)

Contribute to Orange

If you love using Orange and want to support us, a donation would be very much appreciated. The funds help us fix bugs, implement new features, provide free educational content, and maintain computational infrastructure.


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