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Orange Data Mining
What it is
Orange Data Mining is free, open-source software for machine learning, data mining, and data visualization. It runs on Linux, macOS, and Windows and is distributed under GNU GPL 3.0 or later. Users build analysis workflows by connecting widgets for retrieving and preparing data, visualization, modeling, and evaluation. Interactive views include scatter plots, box plots, histograms, heat maps, MDS projections, and model-specific displays. The model catalog includes k-nearest neighbors, decision trees, random forests, gradient boosting, support vector machines, neural networks, and logistic regression. Add-ons extend the software into text mining, network analysis, fairness, time series, survival analysis, spectroscopy, and gene expression analysis. Data sources include Excel and CSV/TSV files, Google Spreadsheets, and PostgreSQL and 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, though the FAQ says it is not stored there. The FAQ also notes that Orange cannot export workflows as Python scripts and is not compatible with R. Add-ons may have additional licensing requirements.
For and against
For
- Free software under GNU GPL 3.0 or later.
- Runs on Linux, macOS, and Windows.
- Works offline after local installation.
- Includes modeling and evaluation widgets.
Against
- SQL widget supports PostgreSQL and MSSQL only.
- Cannot export workflows as Python scripts.
- Not compatible with R.
- Add-ons may have additional licensing requirements.
The verdict
Orange offers a visual workflow approach with a broad model catalog and add-ons for specialized analysis. Its database limits and lack of Python workflow export are worth considering alongside the local, offline setup.
Who it suits
Orange may suit beginners, data scientists, and people learning data science in schools, universities, or professional training. It is also an option for users who want visual workflows and local offline use.
Plans and prices
Orange Data Mining
Free software under GNU GPL 3.0 or later · add-ons may have additional licensing requirements
Read 2 Oct 2026 · orangedatamining.com
On the record
- Add-ons
- Add-ons extend Orange with capabilities including text mining, network analysis, fairness in machine learning, time series, survival analysis, spectroscopy, and gene expression analysis.orangedatamining.com · read 2 Oct 2026
- Database limit
- The FAQ says the SQL widget supports PostgreSQL and MSSQL only, and can sample data instances for exploratory analysis of large datasets.orangedatamining.com · read 2 Oct 2026
- Data integrations
- The FAQ lists Excel and CSV/TSV files, Google Spreadsheets, image and text files through add-ons, and PostgreSQL and MSSQL databases.orangedatamining.com · read 2 Oct 2026
- Intended users
- The maker describes Orange as suited to beginners and expert data scientists and says it is used in schools, universities, and professional training.orangedatamining.com · read 2 Oct 2026
- License
- Orange is free software distributed under the GNU General Public License version 3.0 or, at the user's option, any later version.orangedatamining.com · read 2 Oct 2026
- Local data handling
- Orange is locally installed, can be used without an internet connection, and does not store data; embedding widgets send data to a server for computation, where the FAQ says it is not stored.orangedatamining.com · read 2 Oct 2026
- Machine learning
- The widget catalog includes models such as k-nearest neighbors, decision trees, random forests, gradient boosting, support vector machines, neural networks, and logistic regression.orangedatamining.com · read 2 Oct 2026
- Notable limitation
- The FAQ says Orange cannot export a workflow as a Python script and is not compatible with R.orangedatamining.com · read 2 Oct 2026
- Privacy policy
- The website privacy policy says it uses personal information to provide and improve the site and uses Google Analytics to collect and analyze log data.orangedatamining.com · read 2 Oct 2026
- Purpose
- Orange is open-source software for machine learning, data mining, and data visualization.orangedatamining.com · read 2 Oct 2026
- Support
- The maker directs general support questions to Discord, bug reports to GitHub, and GUI and Python scripting questions to Data Science Stack Exchange and Stack Overflow respectively.orangedatamining.com · read 2 Oct 2026
- Visualization
- Interactive visualizations include scatter plots, box plots, histograms, heat maps, MDS projections, and model-specific views.orangedatamining.com · read 2 Oct 2026
- Visual workflows
- Users build data analysis workflows by connecting widgets for data retrieval, preprocessing, visualization, modeling, and evaluation.orangedatamining.com · read 2 Oct 2026