Orange Data Mining

What Orange Data Mining is

Orange Data Mining is free, open-source software for machine learning, data mining, and data visualization. Available for Linux, macOS, and Windows, it lets users build analysis workflows by connecting widgets for data retrieval, preparation, visualization, modeling, and evaluation. Interactive views include scatter plots, box plots, histograms, heat maps, MDS projections, and model-specific visualizations. Its model catalog includes k-nearest neighbors, decision trees, random forests, gradient boosting, support vector machines, neural networks, and logistic regression. Add-ons extend it into areas such as text mining, network analysis, fairness, time series, survival analysis, spectroscopy, and gene expression. It can use spreadsheets, files, Google Spreadsheets, and PostgreSQL or MSSQL databases; the SQL widget supports only PostgreSQL and MSSQL. Orange is installed locally, works offline, and does not store data. Embedded widgets send data to a server for computation, where the FAQ says it is not stored. Orange cannot export workflows as Python scripts and is not compatible with R.