aime is a simple, C-like programming language and an interpreter, both designed to be embeddable in applications. The language is straightforward, trivial, and direct. Its syntax is simpler than that of C, while still providing for full object management, higher order functions, and references. The interpreter is secure and expressive, allowing comprehensive control over program execution and providing powerful methods of application integration.
RSyntaxTextArea is a syntax highlighting, code folding text editor. It has support for over 30 programming languages and is completely customizable. By extending JTextComponent, it easily integrates into any Swing application and provides an easy way to add syntax highlighting to a program.
JSX serializes Java objects to XML. You can persist objects, evolve them, and send them over the network and between applications. Your object data becomes human-readable and human-writable. You can test it, search it, profile it, audit it, and edit it with ordinary text and XML tools. JSX handles all POJOs and also all classes that require Java's own object serialization.
libburnia is a project comprised of libraries and binaries for reading, mastering, and writing optical discs. It provides libburn, a CD/DVD/BD burn library, libisofs, a manipulation library for ISO 9660 filesystems, and libisoburn, a ISO 9660 multi-session library. On top of them there is cdrskin, a cdrecord emulator, and xorriso, a all-in-one application for ISO 9660 multi-session operations which additionaly provides a limited emulation of mkisofs.
bitstring is a Python module that helps to make the creation and analysis of binary data as simple and natural as possible. Objects can be constructed from integers (big and little endian), floats, hex, octal, binary, byte data, iterables, or files. They can be sliced, joined, reversed, packed, unpacked, inserted into, overwritten, and otherwise operated upon with simple functions or slice notation. They can also be parsed, searched, and navigated in, similar to a file or stream. Internally the data is efficiently stored as byte arrays. It is available for Python 2.6 and later (including Python 3).