PyPy2 v5.4 released - incremental improvements and enhancements

We have released PyPy2.7 v5.4, a little under two months after PyPy2.7 v5.3. This new PyPy2.7 release includes incremental improvements to our C-API compatibility layer (cpyext), enabling us to pass over 99% of the upstream numpy test suite.

We updated built-in cffi support to version 1.8, which now supports the “limited API” mode for c-extensions on CPython >=3.2.

We improved tooling for the PyPy JIT, and expanded VMProf support to OpenBSD and Dragon Fly BSD

As always, this release fixed many issues and bugs raised by the growing community of PyPy users. We strongly recommend updating.

You can download the PyPy2 v5.4 release here:

http://pypy.org/download.html

We would like to thank our donors for their continued support of the PyPy project. We would also like to thank our contributors and encourage new people to join the project. PyPy has many layers and we need help with all of them: PyPy and RPython documentation improvements, testing and adapting popular modules to run on PyPy, or general help with making RPython’s JIT even better.

What is PyPy?

PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7. It’s fast (PyPy and CPython 2.7 performance comparison) due to its integrated tracing JIT compiler.

We also welcome developers of other dynamic languages to see what RPython can do for them.

This release supports:

• x86 machines on most common operating systems (Linux 32/64, Mac OS X 64, Windows 32, OpenBSD, FreeBSD)
• newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux
• big- and little-endian variants of PPC64 running Linux
• s390x running Linux

What is New?

(since the release of PyPy 5.3 in June, 2016)

There are many incremental improvements to RPython and PyPy, the complete listing is here. Mozilla generously sponsored work toward python 3.5 compatibility, and we are beginning to see some cross-over improvements of RPython and PyPy2.7 as a result.

Please update, and continue to help us make PyPy better. Cheers

The PyPy Team