ODB is a compiler-based object-relational mapping (ORM) system for C++. It allows you to persist C++ objects to a relational database without having to deal with tables, columns, or SQL and without manually writing any mapping code. The C++ code that performs the conversion between persistent classes and their database representation is automatically generated by the ODB compiler. The ODB compiler is a real C++ compiler except that instead of producing assembly or machine code, it generates portable C++, which can in turn be compiled by any C++ compiler. ODB is not a framework. It does not dictate how you should write your application. Rather, it is designed to fit into your style and architecture by only handling C++ object persistence and not interfering with any other functionality.
Marble is a Virtual Globe and World Atlas that you can use to learn more about Earth: you can pan and zoom around, and you can look up places and roads. A mouse click on a place label will provide the respective Wikipedia article. It's also possible to measure distances between locations or watch the current cloud cover. Marble offers different thematic maps: a classroom-style topographic map, a satellite view, street map, earth at night, and temperature and precipitation maps. All maps include a custom map key, so it can also be used as an educational tool for use in classrooms. For educational purposes, you can also change the date and time and watch how the starry sky and the twilight zone on the map change. Marble also features multiple projections: choose between a flat map ("Plate carré"), Mercator, or the globe.
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.
Geomajas caching plug-in is a plug-in for the Geomajas mapping framework that improves the speed by caching, by default based on the Infinispan cache library. The cached data can be tiles, features, bounds, or rasterized data (for the rasterizing plug-in). It has a configurable caching strategy, and automatically invalidates data when needed.