SQLpp is an SQL query generation framework for C++ and .NET. Its main features are .NET assembly, automatic SQL code generation, multiple database support, solving table joins puzzles, support for update, insert, and select queries, C# class wrapper generation (generates an entire Data Abstraction Layer), generation of a DAL for DotNetNuke or your application, Graphviz database representation generation, and smart stored procedure generation.
IoBind uses meta-programming and policies to create readers and writers for complex objects at compile time. In other words, it is a code factory that produces customized readers and writers; you give the action to take and the objects to process, and it will generate the corresponding code: STL containers, uBLAS matrices, etc.
Lua is a great programming language that prides itself on ANSI C portability, small size, simplicity, and ease of embedding. Due to these goals, the official Lua distribution cannot provide features common to popular stand-alone scripting languages. The goal of the LuaCheia project is to make a full-featured language based on Lua that makes it more usable as a stand-alone language.
CUT is a unit-testing framework for C, C++, and Objective-C. Unlike other unit testing tools, CUT doesn't strive to be an SUnit clone. It automates a lot of the drudge work often encountered when using other unit testing packages for the C family of programming languages. CUT may also be used to unit-test assembly language software in some circumstances.
XIDEK is an extensible interpreter development kit. It supports an interpreter and simple compiler development with a small but complete collection of reusable, extensible parsing and support modules. These modules implement standard expression and statement syntax, including control statements, symbol tables, abstract syntax trees, and simple bytecode interpreters. They can be used as a starting point for rapid development of language processors for script languages, "little languages", or domain-specific languages. Numerous documented examples show how to combine and extend the base modules into custom interpreters.