BitDew is a programmable environment for the management and distribution of data for grid, desktop grid, and cloud systems. It can easily be integrated into large scale computational systems such as XtremWeb, BOINC, Hadoop, Condor, Glite, Unicore, OpenStack, and Eucalyptus. It provides key P2P, grid, and cloud technologies (DHT, BitTorrent, Amazon S3, DropBox) and high level programming interfaces with a simple API for creating, accessing, storing, and moving data with ease, even in highly dynamic and volatile environments.
The Blender-Mathutils module originated from Blender, where it has been used for some years in production as a utility module for use in areas including animation, games, and mesh manipulation. This differs from 'numpy' in that it is computer graphics focused, combining Matrix and Vector types with rotation classes, which is very useful for use with animation or anywhere Euler and Quaternion values are frequently used. This project is mainly a build system around the actively maintained mathutils code in Blender to allow non-Blender related projects to make use of it. A link to the Blender repository is used so that the source never gets out of sync.
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.
MapReduce-BitDew is an implementation of the MapReduce programming model proposed by Google for Internet Desktop Grids. Using MapReduce-BitDew, you can execute MapReduce applications on resources like Desktop PCs distributed on the Internet. MapReduce-BitDew features a firewall-friendly protocol, fault-tolerance, result-certification, 2-level schedulers, and more.