BaGoMa backs up and restores the contents of a GMail account. It can restore all the labels (folder structure), as well as the flags (seen/read, flagged) of a message. It supports the use of any character in labels, including non-ASCII characters and "/" (the label hierarchy delimiter). BaGoMa is tuned to work specifically with GMail. Each message is only downloaded and saved once. Backup solutions that are designed to work with regular IMAP accounts will download each message multiple times (once per label) when used to back up a GMail account. This can significantly increase the bandwidth requirements and the amount of storage required for backup. Additionally, a faithful restoration of your GMail account might not be possible from such a backup.
Biomechanical ToolKit (BTK) is a cross-platform library for biomechanical analysis. It can read and write a large variety of file formats used in biomechanics, and can modify them. All these operations can be done with the C++ API or with the wrappers included (Python, Octave, and Matlab). The goal of this project is to help the community share data without the restriction of the file format or the biomecanical model provided by the manufacturer of the acquisition system.
Gcmc is a front-end language for generating G-code, SVG, and DXF for CNC mills, lathes, laser cutters, and other numerically controlled machines employing G-code, SVG, or DXF. The language is a context-free grammar created to overcome the archaic format of G-code programming, but can be used more generally for many targets. Gcmc aims to be more readable and understandable than G-code and enable programmatic designing. Gcmc makes extensive use of vector mathematics to support the 3D nature of CNC machining. It handles units as millimeters, mils (inch), degrees, and radians and performs automatic conversions where necessary.
The Graphical Models Toolkit (GMTK) is a toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs). It can be used for speech and language processing, bioinformatics, activity recognition, and any time series application. It features exact and approximate inference, many built-in factors including dense, sparse, and deterministic conditional probability tables, native support for ARPA backoff-based factors and factored language models, parameter sharing, gamma and beta distributions, dense and sparse Gaussian factors, heterogeneous mixtures, deep neural network factors, and time-inhomogeneous trellis factors, arbitrary order embedded Markov chains, a GUI graph viewer, and much more.
LibU is a multiplatform C library that comes under a BSD-style license. It includes many interdependent modules for accomplishing several tasks: memory allocation, networking and URI parsing, string manipulation, debugging, and logging in a very compact way, plus many other miscellaneous tasks. It has a small footprint (about 70KB for the default configuration), it is modular, and it has a multiplatform nature, making it an ideal candidate for embedded systems. KLone is an example of such usage.
Mathomatic is a portable, general-purpose computer algebra system (CAS) that can solve, differentiate, simplify, combine, and compare algebraic equations, perform standard, complex number, modular, and polynomial arithmetic, etc. It does some calculus and is very easy to compile/install, learn, and use. The symbolic math application with a simple command-line interface is designed to be a colorful algebra calculator that is reliable, responsive, and convenient to use. The symbolic math library is lightweight and easy to include in other software, due to being written entirely in C with no additional dependencies.
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.
Open Grid Scheduler/Grid Engine is a batch-queuing system for distributed resource management. It is used by many high-performance clusters and computation farms. Together with basic batch job scheduling, it supports advance reservation, array jobs, parallel make, parallel job management, and GPU management.