X# (pronounced X-sharp) is an XML-oriented programming language designed to quickly create Web applications and services. Everything is represented as an XML tree, and instead of using functions to manipulate information or perform actions, all possible operations are done by adding, removing, or changing nodes from this tree. Since there are no functions to learn and everything is done intuitively, even inexperienced developers can create complex Web applications and services quickly.
Hankering Habitats is an educational game that challenges students to match organisms with the correct habitat in which they are found. The game takes you around the world to explore the inhabitants from land biomes that range from the deepest dark rain forest to the frozen tundra. You will additionally explore water environments including the sea shore, the coral reef, and the open ocean. While doing this, you will learn about animals, plants, and even microscopic creatures that live in the variety of biomes of Earth.
SitemapGen4j is a Java library to generate XML sitemaps. It supports gzipped output, sitemap validation, and sitemap index generation. It can also generate Google-specific sitemaps, such as Mobile sitemaps, Geo sitemaps, Code Search sitemaps, Google News sitemaps, and Video sitemaps.
XSLT syntax highlighting is an implementation of syntax highlighting as an extension module for Java based XSLT processors (such as Xalan or Saxon). For example, if you have an article about programming written in DocBook, code examples can be automatically syntax highlighted during the XSLT processing phase.
Jumper provides an enterprise bookmarking engine for tagging and linking data objects. It lets you search and share high-value data across remote locations using tag metadata (expanded tag fields) to capture knowledge about data in remote data stores. It collects these tag profiles in a knowledge base where user-created tag profiles identify quality data resources, user-contributed tag information adds real-world knowledge about the data resources, and user-created reviews sort out the worthy resources from the inadequate. Other users can search for this data. In addition, they can directly contribute what they know about this data to the knowledge base. It allows the participants to act as a filter for what is valuable and build upon mainstream pursuits, but also uncovers valuable data hidden at the edge.