FReT is a common lisp package for testing common lisp software. Version 0.3 is at present at least as functional as any such software publically available, but still far from complete.
Yapps (Yet Another Python Parser System) is an easy to use parser generator that is written in Python and generates Python code. There are several parser generator systems already available for Python, including PyLR, kjParsing, PyBison, and mcf.pars, but I had different goals for my parser. Yapps is simple, is easy to use, and produces human-readable parsers. It is not fast, powerful, or particularly flexible. Yapps is designed to be used when regular expressions are not enough and other parser systems are too much: situations where you may write your own recursive descent parser.
This is a brief introduction to Python for Lisp programmers. (Although it wasn't my intent, Python programers have told me this page has helped them learn Lisp.) Basically, Python can be seen as a dialect of Lisp with "traditional" syntax (what Lisp people call "infix" or "m-lisp" syntax). One message on comp.lang.python said "I never understood why LISP was a good idea until I started playing with python." Python supports all of Lisp's essential features except macros, and you don't miss macros all that much because it does have eval, and operator overloading, and regular expression parsing, so you can create custom languages that way.
CL-XML is a collection of Common LISP modules for data stream parsing and serialization according to the "Extensible Markup Language" and anscilliary standards. The modules perform parsing and serialization between XML, XML Query, and XML Path expressions and DOM-compatible CLOS instances.
Hand-Crafting My FOAF
While at eTech, I attended a number of "social software" sessions. One thing I heard was a persistent call from folk like Marc Canter for all the vendors to support something called FOAF. FOAF is a standard for "Friend of a Friend" files, and is an attempt to make machine readable information about people, groups, companies, and other online resources. In particular, it is focused on representing the information that you might typically put on your personal home page in a form such that meta-data tools can interpret it.