Orange Data Mining
Orange is an open-source data mining and machine learning toolkit with a visual programming interface. It provides an interactive environment for data exploration, analysis, and visualization, with extensible add-ons for specialized domains like text mining and bioinformatics.
Key Features
Visual Workflow Builder: Drag-and-drop interface for constructing data pipelines and models.
Interactive Visualization: Supports scatter plots, box plots, heatmaps, decision trees, and more.
Machine Learning Support: Includes classification, regression, clustering, and model evaluation.
Domain-Specific Add-Ons: Extensions for text mining, bioinformatics, network analysis, and image analytics.
Python Scripting: Combines GUI with scripting for flexibility and reproducibility.
Example Use Cases
Teaching data science and machine learning concepts through visual workflows
Exploring datasets with dynamic visualizations
Developing ML models without writing code
Extending core functionality for research in biology, text analytics, or network science