Opensort is general purpose sorting software that aims to be a fast and easy solution for the sorting of large or small data-sets and data manipulation in general. It is still in the early stages of development and lacks many of the advanced features its commercial counterparts have. For the moment, it only provides a simple command line interface and a C library other programs can use to cover some basic needs for data sorting.
QtWebSockets is a pure Qt implementation of WebSockets, both client and server. It is implemented as a Qt source code module (.pri file) that can easily be embedded into existing Qt projects. It has no dependencies other than Qt. It features text and binary sockets, frame-based and message-based signals, proxy support, and strict Unicode checking.
Pascal-P4 for Free Pascal and Delphi is a port of a Pascal compiler written at ETH Zurich in 1976. The source code of the compiler is documented in the book "Pascal Implementation" by Steven Pemberton and Martin Daniels. The purpose of this project is to make Pascal-P compilable by Free Pascal and Delphi while keeping the changes to a minimum and preserving the line numbering as much as possible.
MLPACK is a C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression and least-angle regression.
AlgART Libraries is a collection of Java libraries, supporting generalized smart arrays and matrices with elements of any types, including a wide set of of 2D, 3D, and multidimensional image processing and other algorithms. Main features: 64-bit long int indexes, a memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multi-threading optimization for multi-core processors, etc.