Orange vs. ggplot2 vs. openElement vs. python-sql Comparison Chart

Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that.

openElement is a free website building application with a WYSIWYG interface ("What You See Is What You Get"). The software automatically generates the necessary code for a website to display and function correctly, without the creative constraints imposed by other tools. The benefit to users is a simpler approach for beginners and a faster approach to repetitive tasks for professionals. The concepts of "elements" and "packs" allow users to insert, modify, and customize commonly used web objects by simply dragging & dropping them onto pages - without writing any code. That said, users are not confined by the built-in elements: you can create, reuse, and share your own custom elements. openElement is a hybrid between a CMS and a standalone app. It really stands apart from other applications of its type. It works through an internal intermediary format that facilitates content updates, and maintains the structure and consistency of the resulting code.