Has anyone every used or even tried to use Boost.Python to dynamically create python types at runtime (instead of the standard compile time method)? I am working on an very large extensible C++ class library that has a reflective interface that I can extend as much as I need. So instead of trying to create an enormous wrapper at compile time (that would be quickly out of date) I have been investigating the possibility of dynamically creating the python class/type wrappers on demand. So for example if I discovered at run-time that I wanted a wrapper for a class Hello I would: - Ask Hello's reflective interface for information about the class and it's bases - Create an associated boost.python class object - For each method Hello reports - add method to the wrapper class using signature and method info from Hello I would also need to handle registering associated smart pointers, etc. The details are definitely complex, but before I get to far into it I was wondering if anyone had done anything similar or had tried and could tell me how it went or if it is impossible with the current system. Thanks, Allen