Funky is a tiny, embeddable programming language with almost unlimited extending capabilities. It presents itself as a single class that contains the entire interpreter. Two versions of this class exist: Funky::Funky, a floating-point version, and Funky::Groovy, an integer version. You can install your own functions in the language as long as your functions take a vector of the built-in type of the interpreter and return an instance of that built-in type (or a vector of those). Funky is a functional programming language. As such, it treats everything as functions, and those functions handle only one type: double in the case of Funky::Funky, or int in the case of Funky::Groovy.
TinyaML is a virtual machine, a compiler, and a compiler- compiler, powered by the abstract parser tinyap. It is endian-safe and allows easy bindings of new C APIs into the virtual machine. The VM executes wordcode with a virtual threading model and features a garbage collector. TinyaML allows the user to compile and run assembly code, or plug new grammars for higher-level languages into the parser and implement the methods to compile their ASTs.
CodaServer is a database that makes building business applications easy. It uses a SQL-like language that lets you describe your workflow and business processes, and uses this information to enforce your business rules and guarantee data integrity. It also has a rich set of metadata commands so that your applications can get the information they need to build intelligent, process-aware user interfaces. CodaServer's listener is Web service-based, making it truly cross-platform, and it uses standard SQL databases for storing data, protecting your current investment.
Feed4JUnit makes it easy to write parameterized tests for the JUnit framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files, databases, or custom data sources, and equivalence class tests can be defined easily. Setup is based on Java annotations and is easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7, and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.