tvpvrd is a PVR daemon for Linux that offers the ability to schedule and manage TV recordings using one or multiple installed analogue TV capture cards, e.g. Hauppauge. The daemon is interfaced either through its full command language via a provided command line shell or through a basic (built-in) Web interface provided by the built in micro Web server. The goal is to provide an advanced recording and transcoding (using ffmpeg) server without the need to configure databases or a complex GUI. The server is completely self-contained and uses an XML DB in plain text format to store future recordings.
QtWebApp allows you to write standalone Web server applications in C++ as easily as Java Servlets. The HTTP 1.1 server supports persistent connections, sessions with cookies, and file uploads. It contains a template engine and a logger that can be configured at runtime. The application runs on Unix as a daemon, on Windows as a service, and on all operating systems on the command line. It is based on Nokia QT 4.7. Compatibility with QT 4.8 and 5.0 has been verified successfully.
BitNami Tomcat Stack Native Installer is an easy-to-install environment to develop and deploy Java applications. It includes pre-configured, ready-to-run versions of Apache, Tomcat, MySQL, and Java. Users can get the environment up and running in minutes after answering a few questions.
BitNami JBoss Stack native installer is an easy-to-install environment to develop and deploy JBoss applications. It includes pre-configured, ready-to-run versions of Apache, JBoss, MySQL, and Java. Users can get the environment up and running in minutes after answering a few questions.
BitNami Stack for Piwik is an easy-to-install distribution of Piwik, a real time Web analytics software application. It includes pre-configured, ready-to-run versions of Apache, MySQL, PHP, and phpMyAdmin so users can get a Piwik installation up and running in minutes after answering a few questions. It provides you with detailed reports on your Web site visitors: the search engines and keywords they used, the language they speak, your popular pages, and much more.
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.