Wikipedia4epub is a set of commands that constructs an offline e-book from articles on Wikipedia in EPUB format. There are commands to create an EPUB book from the articles from Firefox history file, or create an EPUB book from the given article and its children. It is useful for people with offline e-book readers.
sxmppd is a server for the XMPP (Jabber) chat protocol. While other, functional XMPP servers exist, they are not as simple or have many dependencies. It supports user authentication, SSL, roster management, presence updates and subscriptions, messaging (local users), group chat, and file-based server configuration.
FreeDiams is a program for making prescriptions of pharmaceutical drugs and testing their interactions. It is the result of building the FreeMedForms prescriber plugins into a standalone application. It is developed by medical doctors and is intended for use by these same professionals. It can be used to prescribe drugs and test drug interactions within a prescription. It can be linked to any application by way of its command line parameters. FreeDiams can use several drug databases, including the FDA_USA drug database, the French AFSSAPS drug database, the Canadian drug databases, and the South African drug database (SAEPI).
WSF Staff is Web Service Framework for C++, AJAX, and J2ME that is based on Apache Axis2/C. WSF Staff wraps Apache Axis2/C code into C++, and also provides many additional features: a stateful Web services implementation in C++ with instance support, a synchronous and asynchronous client implementation in C++, AJAX, and J2ME, a service-component architecture implementation, support for RESTful Web services and clients, WSDL support with xsd import and export, J2ME client support (based on ksoap), a flexible and extensible code generator to generate any sort of Web service related source code (not only in C++), security support (users, groups, sessions, ACLs, etc.), and a Web application toolkit (webapp) with widget support.
Winnow efficiently trains and operates any number of unique Bayesian (Naive Bayes) classifiers on large sets of content. It has very high performance and works with very small training and unbalanced training sets. It has been used to power an innovative Web feed reader that uses smart tags, which learn and find the content you want to see, from more sources than you can follow with traditional feed readers. It works particularly well with Ruby and Ruby on Rails.