EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.
FireBreath is a cross-platform plugin architecture, targeting NPAPI browsers on Windows, Mac OS X, and Linux (Gecko/Firefox, Google Chrome, Apple Safari, Opera) and ActiveX Control hosts, including all versions of Microsoft Internet Explorer. It is designed to make it easier to get started than even doing an NPAPI plugin by hand. A Python-based "fbgen" tool generates a template skeleton and makes it possible to have a functioning browser plugin up and running in 20 minutes.