MiniMagAsm is minimalistic, but powerful and flexible content management system (CMS). It is a rewrite of MiniMag in assembly language (FASM). As expected, it is a very small and very fast Web application. It has a flexible architecture and is highly customizable by the user without the need for the code to be changed and recompiled. The system uses .txt files to store articles, formatted with a lightweight markup language which is very similar to Markdown. MiniMagAsm is portable CGI application which runs on Windows or Linux Web hosting.
Mokka (MOtion Kinematics and Kinetics Analyzer) is a software solution for analyzing biomechanical data. It reads and writes C3D files and many other file formats, and allows you to visualize marker trajectories in 2D and 3D, and force platforms, segments, joint angles, forces, moments, and analog signals like EMGs.
Novembre is an extensible tool for analysis and visualization of topographic and spectroscopic data. It supports the RHK, WinSPM, Nanonis, and Createc file formats, but any other format can be added via plugins. Tools are also made available through plugins, and are focused on spectroscopy manipulation.
OpenCSG is a library that does image-based CSG rendering using OpenGL. CSG is short for "constructive solid geometry" and represents a modeling technique for composing shapes with 3D-primitives which are combined using volumetric boolean operations. Image-based CSG rendering means rendering CSG shapes without calculating their surface in object-space. Instead, the image of a CSG shape is composed directly in the frame-buffer of the graphics hardware by rather sophisticated stenciling and z-buffer operations.
QoSDB is a QoS registry designed for supporting QoS management in realtime SOAs. It can be exploited for gathering QoS data related to different functional behaviors of the application (application operating modes) and for predicting future performance based on historical data. A modular architecture allows for defining various models for the prediction of resource requirements under a set of conditions which has not been observed yet. This allows for achieving nearly-correct resource allocation (self-configuration) for the application with a great reduction of needed observation/benchmarking points, especially in those contexts in which the space of possible configuration parameters is big (e.g., multimedia applications supporting arbitrary resolutions). By leveraging the QoSDB, SOAs can be built with auto-tuning capabilities, for better exploitation of internal resources while guaranteeing the QoS required by users.