We’re pleased to announce PyPy 2.5, which contains significant performance enhancements and bug fixes.
You can download the PyPy 2.5.0 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 (10 new commiters joined PyPy since the last release). 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 call PyPy3 2.4.0, and are working toward a Python 3.3 compatible version
STM (software transactional memory): We have released a first working version, and continue to try out new promising paths of achieving a fast multithreaded Python
NumPy which requires installation of our fork of upstream numpy, available on bitbucket
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, and OpenBSD), 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 have further improvements on the way: rpython file handling, finishing numpy linalg compatibility, numpy object dtypes, a better profiler, as well as support for Python stdlib 2.7.9.
Please try it out and let us know what you think. We especially welcome success stories, we know you are using PyPy, please tell us about it!
Cheers
The PyPy Team