GPlates offers a novel combination of interactive plate-tectonic reconstructions, geographic information system (GIS) functionality, and raster data visualization. GPlates enables both the visualization and the manipulation of plate-tectonic reconstructions and associated geological, geophysical, and paleo-geographic data through geological time.
Deva is a programming language that is small, dynamic, and has some similarities to C and Python. It is designed for embedding in C++ applications, and is also suitable for basic programming tasks. It is written to be as simple as possible, but no simpler. Deva is a multi-paradigm language: it is essentially procedural and imperative, but with support for basic functional and object-oriented idioms.
Mettā is an OS for mobile, multimedia, and social applications. Mettā's purpose is to be easily deployable over a range of mobile and home devices, without tedious setup procedures, while allowing people to communicate easily in a very ambient way and express themselves freely by creating, modifying, and publishing text, audio, and video information in a simple way. Mettā's flexibility comes from transparent resource manipulation and transparently distributing computing tasks between nodes on the network, while maintaining data integrity and privacy.
NNDB is a C++ library that provides in-memory data storage and retrieval using syntax that is intended to feel natural for C++/STL, but which also might feel slightly like SQL if you squint and pound the top of your head with a seminal programming textbook. Columns types are fixed at compile-time and checked by the compiler.
SecureCam is a video surveillance system with a nice GUI. It supports multiple camera and video file inputs. It detects motion in input video using fast algorithms. Alarm notification is provided by email, alarm sound, and video recording. Currently, only a Windows installer is provided, but the source can be compiled on Linux.
Tuwo is a C++ library for solving high-level computer vision tasks such as image classification and object recognition. Computer vision is a subfield of computer science and deals with systems that can make sense of image information. Building systems suited for high-level computer vision tasks such as object recognition and image classification requires the use of robust image statistics in the form of image features and machine learning algorithms to separate discriminative information from noise. This C++ library provides code to extract image features and learn decision functions from training data. It is suitable for high-level computer vision tasks.
PySide provides a full set of Qt bindings and automated binding generation tools. The binding generation tools can be useful for creators of Python bindings to any Qt-based library or to any C++ library in general. Although based on a different technical approach, PySide will initially be API-compatible with existing Python bindings for Qt.
GoFigure2 is a cross-platform application for visualization, processing, and analysis of out-of-core multidimensional microscopy data (5D data sets). Users can visualize images, segment cells in 3d, track cells through time, and detect cell divisions to generate lineages. Results are stored in a MySQL database back-end. Once data has been processed, cell-based object features are quantified and can be used for sorting, color-coding, analysis, or exported to external tools. GoFigure2 was developed for biology research including studying the development of embryos (zebrafish and mouse), synthetic biology (signaling), and for drug screening.