Orange Bioinformatics Laboratory, University of Ljubljana

Orange is an open-source software designed for machine learning, data analysis, and interactive data visualization. It provides a user-friendly platform for exploring complex datasets through visual programming, enabling users to build workflows without coding.

Key features of Orange include:

• A drag-and-drop interface for connecting widgets that perform various tasks such as data preprocessing, visualization, and machine learning.
• Advanced data exploration tools, including statistical distributions, scatter plots, decision trees, clustering algorithms, and dimensionality reduction techniques like t-SNE.
• Specialized extensions for text mining, network analysis, association rule mining, and fairness in machine learning, supporting a wide range of applications from natural language processing to bioinformatics.

Orange is ideal for researchers, educators, and professionals who need a flexible and intuitive tool for data science. It empowers users to gain insights from large datasets, experiment with machine learning models, and share findings without requiring extensive programming knowledge.