[fijal]

It's maybe worth noting that richards is an "easy" benchmark. PyPy has been speeding it up quite significantly by about 40x for a long time.

Those changes are necessary for improved performance, but not nearly good enough. PyPy does that and tons and tons of more stuff and it gets dismissed here as "provided only modest speedup on company workload", which means there is far more involved here than just attribute lookup/function call which have been massively speed up by pypy for quite a few years now.

[quotemstr]

Pypy doesn't work well with cpython modules. That makes it a non-starter, sorry.

[fijal]

We have been addressing that for the last 3 years. Which CPython modules it does not work with for you?

That comment was about something slightly different though - even though richards is 40x faster, pypy still is not faster on some workloads (like instagram in their measurments), which makes me think that there are other forces at play.

[quotemstr]

Well, right now, I simultaneously want to use the python-gobject stuff, Pandas, numpy, bcolz, and other assorted parts of the scipy universe.