Not that I'm a big fan of Jython, but including startup time in a benchmark is only useful for very short running command line tools. It says nothing about the speed of the JIT or the code that's being tested.
Has anyone done any recent memory benchmarks with PyPy?<p>I'd like to see magnitude of the memory trade-off for using a JIT compiler. As a web developer my programs are mostly IO-bound, not CPU-bound. I'm also bootstrapping and trying to squeeze as much as I can out of my 512MB linode.
That's really nice for PyPy. Although Eulers are mainly numerical tests. Most of the work done in many programmers "real world" are work on strings, which CPython is very good at since all its strings libs are implemented in C. So i'd like to see a comparison with a better benchmark i guess :)