Orange is a graphical application for data mining, machine learning and interactive data visualisation. Its main attraction is a visual programming environment that allows users to construct analytical workflows without writing code.
Workflows are assembled on a canvas by connecting widgets representing individual operations. A typical analysis might load a dataset, select relevant attributes, explore statistical distributions, train several predictive models and compare their performance.
Orange is particularly suited to exploratory data analysis and education. Its interactive visualisations help users investigate relationships between variables, identify unusual observations and understand how machine learning algorithms behave.
Although many tasks can be completed entirely through the graphical interface, Orange also provides facilities for more advanced analysis and custom scripting. Additional modules extend its capabilities into specialist areas, including text mining, networks and bioinformatics.
This is free and open source software.
Key Features
- Visual workflow editor with drag-and-drop widgets connected through data-processing pipelines.
- Load tabular data from files and supported databases.
- Inspect data using tables, distributions, descriptive statistics and feature summaries.
- Clean and transform datasets through imputation, scaling, discretisation and attribute selection.
- Interactive scatter plots, box plots, heatmaps and other statistical visualisations.
- Dimensionality reduction using PCA, multidimensional scaling, t-SNE and other techniques.
- Classification and regression with decision trees, random forests, support vector machines and additional learners.
- Clustering with k-means, hierarchical clustering and DBSCAN.
- Detect outliers and investigate relationships using distance matrices and correlation tools.
- Compare models using cross-validation and the Test and Score widget.
- Evaluate predictions with confusion matrices, ROC analysis and calibration plots.
- Interactive selection and highlighting of observations across connected visualisations.
- Extend analysis through add-ons covering text mining, networks, time series and bioinformatics.
- Python scripting widget for custom data transformations and analysis.
- Save and reuse workflows for teaching, research and analytical projects.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: orangedatamining.com
Support:
Developer: Bioinformatics Laboratory, University of Ljubljana
License: GNU General Public License v3.0
Orange is written in Python. Learn Python with our recommended free books and free tutorials.
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