Apache Qpid is a messaging broker that implements the latest AMQP specification, providing transaction management, queuing, distribution, security, management, clustering, federation, heterogeneous multi-platform support, and much more. It is extremely fast and aims to be 100% AMQP Compliant.
DotNetZip is a zip library for .NET and Silverlight. Using this library, you can build .NET or Silverlight applications that create, view, update, or unpack ZIP archives. DotNetZip also includes a ZLIB library and a BZip2 library. It is all managed code. Compact Framework versions of the libraries are included as well. The ZIP library supports WinZip AES encryption, regular PKZip encryption, Zip64, Unicode filenames, and many other ZIP features.
Itzam/Sharp is a C# class library for creating and manipulating keyed-access database files containing variable-length, random access records. Information is referenced by a user-defined key value; indexes may be combined with or separate from data. Itzam/Sharp implements the Itzam engine (see Itzam/Core and Itzam/Java) in 100% managed C#. At 32K, the Itzam/Sharp engine is both small and powerful, and it works with any .NET language, including F# and Visual Basic.
MBase is a .NET-oriented meta-programming framework. It is designed for rapid development and high quality implementation of custom programming language compilers, but can also serve as a robust and flexible embeddable scripting engine. Applications are not limited to .NET platform, since MBase can be used to implement compilers targeting other platforms - JVM, native assembly, C, etc.
MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms. It addresses the two most common scenarios in collaborative filtering: rating prediction (e.g. on a scale of 1 to 5 stars), and item prediction from implicit feedback (e.g. from clicks or purchase actions). It contains dozens of recommender engines, including state-of-the-art matrix factorization methods. It also supports real-time updates to the recommender engines, storing engines to disk and reloading them again, and several evaluation measures to compare the accuracy of different recommender system methods. Three command-line programs that offer most of the functionality contained in the library are included.