CrossUI RAD Tools enables developers to rapidly develop and package the same code and UI into Web Apps, native desktop apps for Windows, OS X, Linux, and Unix on 32-bit and 64-bit architectures, and mobile apps for iPhone, iPad, Windows Phone, webOS, BlackBerry, and Android devices.
Lernstick Exam Environment is a live Linux distribution with a focus on exam situations, usually installed on USB sticks. To provide up-to-date software choice on a solid base, it uses a combination of Debian stable with official and custom backports. Access to local storage media (internal hard drive, other USB storage media) or network access is prohibited per default, but certain network connections (e.g., to network printers or websites) can be allowed in a whitelist.
Project shyknight is a classic-style platforms game like Manic Miner and some others from early 80s. It has very nice and polished, colorful retro graphics, and simple but addictive gameplay. Eric is in love with a greedy girl named Martina. He must collect all the items she wants to make her happy.
skd is a tool for the simple distribution of SSH keys in a growing environment. It allow you to create hosts, group them, and link that group a group of users with keys to easily distribute all affected keys. skd generates a DSA or RSA keypair, which is saved to its database and used as the authentication source for skd itself. This keypair can (and should be) additionally be encrypted using a passphrase. This allows you to simply add a user with their key and press one button to grant (and revoke!) the user's access to all needed hosts.
C-ICAP Classify is a module that allows classification (labeling) of Web pages, images, and soon video based on content. Labels are placed in HTTP headers. Any PIC-Label META tags are exported into HTTP headers. This allows for creation of very flexible filters according to rules defined by the user, using the ICAP enabled proxy's ACLs. It is not a URL filter, so implementing it with sslBump or similar proxy technologies makes it very difficult to bypass. Text classification is done using Fast Hyperspace (based on Hyperspace from CRM114) and/or a Fast Naive Bayes. Image and video (when implemented) use haar feature detection from the OpenCV library.