Orange is particularly valued in education, research, and applied data science due to its ease of use and powerful back-end capabilities. Its modular, widget-based design allows users to construct analytical pipelines without needing to write code.  

The Orange software is accompanied by a series of educational YouTube videos. With bite-sized data science tutorials targeting the general public, the Orange team promotes data analysis skills and knowledge through free online access and no prior knowledge requirement of computer science, maths, programming, or statistics. Being open source, Orange benefits from contributions from a global community of developers and researchers. This continuous development ensures that Orange remains up-to-date with the latest advancements in data science and machine learning.

Key highlights include:

• Visual Programming: Users create workflows by linking widgets that perform tasks such as data import, preprocessing, modelling, evaluation, and visualisation.
• Extensibility: The platform supports add-ons for specialised tasks including text mining, bioinformatics, image analytics, and time series analysis.
• Interactive Visualisation: Real-time, dynamic charts and dashboards support iterative and exploratory data analysis.
• Integration with Python: Advanced users can extend functionality or write custom scripts within the platform, combining accessibility with flexibility.
• Educational Use: Orange is widely adopted in teaching data science and machine learning, especially in non-technical disciplines, fostering data literacy across domains. 
  
  Orange has had a significant global reach in promoting data literacy and lowering barriers to entry in data science. Its combination of accessibility, visual learning, and computational power has made it a staple tool in both university classrooms and professional environments. It exemplifies how open-source tools can democratise knowledge and empower evidence-based decision-making.

By equipping users with tools to analyse complex data without requiring programming skills, Orange supports data-driven decision-making in research, policy, and innovation contexts. It aligns with digital transition goals by fostering digital skills, encouraging transparency, and enabling inclusive access to advanced analytical methods. This contributes to informed, just, and participatory transitions across sectors.