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Autofac is an IoC container for Microsoft .NET. It manages the dependencies between classes so that applications stay easy to change as they grow in size and complexity.
AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. The framework is comprised by the set of libraries and sample ... [More]
StructureMap is a Dependency Injection framework that can be used to improve the architectural qualities of an object oriented system by reducing the mechanical costs of good design techniques. StructureMap can enable looser coupling between classes and their dependencies, improve the testability of ... [More]
ANother Tool for Language Recognition (ANTLR) is the name of a parser generator that uses LL(k) parsing. ANTLR is the successor to the Purdue Compiler Construction Tool Set (PCCTS), first developed in 1989, and is under active development. Its maintainer is professor Terence Parr of the University of San Francisco.
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages. SWIG is primarily used with common scripting languages such as Perl, PHP, Python, Tcl/Tk, and Ruby, however the list of supported languages also includes non-scripting ... [More]
OpenSimulator is a Second Life-compatible open source region simulator. Its companion project, OpenGridServices, provides the infrastructure for setting up a grid of simulators.
Here at the Bouncy Castle, we believe in encryption. That's something that's near and dear to our hearts. We believe so strongly in encryption, that we've gone to the effort to provide some for everybody.
Ninject is an ultra-lightweight, ultra-fast dependency injection framework for .NET 2.0 applications. Easy to use, fast, flexible, and powerful, Ninject aims to make inversion of control accessible to all types of .NET projects, regardless of size or complexity.