Orange: Open-source component-based machine learning and data visualization
Orange Data Mining
Aug 10, 2024Diving into Data: How We Used COVID-19 to Teach BioinformaticsDuring the COVID-19 pandemic, we completely redesigned our Introduction to Bioinformatics course. Every year since then, the students' feedback has been overwhelmingly positive. This summer, Pavlin Poličar presented the course at the International Conference on Intelligent Systems for Molecular Biology (ISMB) in Montreal, Canada.Visual ProgrammingNo coding needed. Place widgets on the canvas, connect them, load your datasets, and harvest the insight! Learn moreWatch videoInteractive Data VisualizationExplore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS, t-SNE and linear projections. Even your multidimensional data can make sense. Learn moreExtensionsSpecialized add-ons can perform natural language processing and text mining, conduct network analysis, do association rules mining, or address fairness in machine learning. Some address specialized data, such as time series, survival data sets, spectra, or gene expressions. Also, check out Orange's cousin Quasar.Watch videoTeach with OrangeWhen teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science. There are even widgets that were especially designed for teaching.Learn moreMy laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments.  Orange allows me to analyze my data even though I don’t know how to program.  It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees.Gad Shaulsky, Ph.D.Molecular biologist and Director of Graduate Studies (Baylor College of Medicine, Houston, USA)The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data. Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science.Ferenc Borondics, Ph.D.Principal beamline scientist at SMIS (SOLEIL synchrotron, France)I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers. Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses. Most of our attendees have been able to incorporate this tool in their research practice.Francesca Vitali, Ph.D.Research Assistant Professor (Center for Biomedical Informatics & Biostatistics, The University of Arizona)Contribute to OrangeIf you love using Orange and want to support us, a donation would be very much appreciated. The funds help us fix bugs, implement new features, provide free educational content, and maintain computational infrastructure.Donate