Concerted is a highly scalable multivariate in-memory data storage library. It has built in support for multivariate queries and performs well over many styles of workloads. The data is read and stored in various data structures, and the data from data structures written to disk. It is fully ACID compliant, has APIs that abstract details from the user, and provides an easy to use interface. Many different types of indexes are provided along with various systems that provide access for data analytics.
sqlpp11 is an embedded domain-specific language which allows programming SQL very naturally in modern C++. It also enables the compiler to detect syntax errors, type errors, name errors, and even some semantic errors before they ever hit unit tests or production. Queries can be constructed at compile time or run time, offering varying levels of safety and flexibility.
Libpointmatcher is a modular "Iterative Closest Point" library, useful for robotics and computer vision. This library is designed with modularity and performance in mind. It provides building blocks to construct various ICP chains often seen in research. These chains can be tuned without any recompilation, and new modules can be added without modifying the core of the library.
libnode is a C++ implementation of Node.js. Just like Node.js, libnode provides non-blocking I/O, which enables you to develop scalable Web applications in C++. The memory management of libnode is automatic, based on either shared_ptr or bdw-gc. libnode is good to use on embedded devices because its system resource consumption is lower than Node.js.
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.
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.