Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox.

Orange is a component-based visual programming software package for data visualization, machine learning, data mining, and data analysis.

Orange components are called widgets and they range from simple data visualization, subset selection, and preprocessing, to empirical evaluation of learning algorithms and predictive modeling.

Visual programming is implemented through an interface in which workflows are created by linking predefined or user-designed widgets, while advanced users can use Orange as a Python library for data manipulation and widget alteration.

Objectives
The program provides a platform for experiment selection, recommendation systems, and predictive modeling and is used in biomedicine, bioinformatics, genomic research, and teaching. In science, it is used as a platform for testing new machine learning algorithms and for implementing new techniques in genetics and bioinformatics. In education, it was used for teaching machine learning and data mining methods to students of biology, biomedicine, and informatics. 

Extensions
Various projects build on Orange either by extending the core components with add-ons or using only the Orange Canvas to exploit the implemented visual programming features and GUI.

• OASYS the ORange SYnchrotron Suite 
• scOrange for single cell biostatistics
• Quasar for data analysis in natural sciences

Specifications

Industry :

General