Orange vs. ggplot2 vs. jsoup vs. zope.interface 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.

jsoup is a Java library that simplifies working with real-world HTML and XML. It offers an easy-to-use API for URL fetching, data parsing, extraction, and manipulation using DOM API methods, CSS, and XPath selectors. jsoup implements the WHATWG HTML5 specification and parses HTML to the same DOM as modern browsers. With jsoup, you can scrape and parse HTML from a URL, file, or string; find and extract data using DOM traversal or CSS selectors; manipulate HTML elements, attributes, and text; clean user-submitted content against a safelist to prevent XSS attacks; and output tidy HTML. jsoup is designed to deal with all varieties of HTML found in the wild, from pristine and validating to invalid tag-soup, creating a sensible parse tree. For example, you can fetch the Wikipedia homepage, parse it to a DOM, and select the headlines from the "In the news" section into a list of elements.