We’re pleased to announce PyPy 2.6.0, only two months after PyPy 2.5.1. We are particulary happy to update cffi to version 1.1, which makes the popular ctypes-alternative even easier to use, and to support the new vmprof statistical profiler.
You can download the PyPy 2.6.0 release here:
We would like to thank our donors for the continued support of the PyPy project, and for those who donate to our three sub-projects, as well as our volunteers and contributors.
Thanks also to Yury V. Zaytsev and David Wilson who recently started running nightly builds on Windows and MacOSX buildbots.
We’ve shown quite a bit of progress, but we’re slowly running out of funds. Please consider donating more, or even better convince your employer to donate, so we can finish those projects! The three sub-projects are:
We would also like to encourage new people to join the project. PyPy has many layers and we need help with all of them: PyPy and RPython documentation improvements, tweaking popular modules to run on pypy, or general help with making RPython’s JIT even better. Nine new people contributed since the last release, you too could be one of them.
PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7. It’s fast (pypy and cpython 2.7.x performance comparison) due to its integrated tracing JIT compiler.
This release supports x86 machines on most common operating systems (Linux 32/64, Mac OS X 64, Windows, OpenBSD, freebsd), as well as newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux.
While we support 32 bit python on Windows, work on the native Windows 64 bit python is still stalling, we would welcome a volunteer to handle that. We also welcome developers with other operating systems or dynamic languages to see what RPython can do for them.
Please try it out and let us know what you think. We welcome success stories, experiments, or benchmarks, we know you are using PyPy, please tell us about it!
Cheers
The PyPy Team