PyPy v5.9 Released

This is amazing -- we have a small mountain of Cython code, and almost everything is working out of the box!<p>Tests failing:<p>* <a href="https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;spaCy" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;spaCy</a><p>Confirmed working:<p>* <a href="https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;thinc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;thinc</a><p>* <a href="https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;preshed" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;preshed</a><p>* <a href="https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;cymem" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;cymem</a><p>* <a href="https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;murmurhash" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;explosion&#x2F;murmurhash</a><p>I doubt spaCy will ever be faster on PyPy (the neural network library Thinc is currently 50% slower). It&#x27;d still be really great to get it running, so people who benefit from PyPy for other parts of their stack don&#x27;t have to manage two Python environments.

This is great. Can&#x27;t wait until Python 3.5 support is out of beta.<p>Just out of curiosity, I&#x27;d love to hear from others who&#x27;ve used PyPy for their web apps. Are there any issues to look out for? I remember that a few years ago, packages like psycopg2 were not compatible, which made the migration somewhat difficult. Would love to hear real-world experiences here.

The original title emphasises that NumPy and Pandas now are functional on PyPy.<p>The PyPy JIT cannot look inside C code, and crossing the python-c interface is slow, but give it a chance and you may be pleasantly surprised how fast your pure python code can run.

I wonder if this will run apistar: <a href="https:&#x2F;&#x2F;github.com&#x2F;encode&#x2F;apistar" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;encode&#x2F;apistar</a> which is currently the fastest (python 3.6 generally) python web framework out there.

As I do with every PyPy release, I would like to point out that the PyPy official benchmarks for comparison against CPython[0] continue to misleadingly compare their latest and greatest with CPython 2.7.2 (released in 2011), as opposed to the modern CPython 2.7.13 or 3.5.3 versions for which they target API compatibility.<p>[0]<a href="http:&#x2F;&#x2F;speed.pypy.org" rel="nofollow">http:&#x2F;&#x2F;speed.pypy.org</a>

Is there a list of well-known c-extensions for which PyPy is known to work or for which there are well-maintained cpyext ports ?<p>Update: found it at <a href="https:&#x2F;&#x2F;bitbucket.org&#x2F;pypy&#x2F;compatibility&#x2F;wiki&#x2F;Home" rel="nofollow">https:&#x2F;&#x2F;bitbucket.org&#x2F;pypy&#x2F;compatibility&#x2F;wiki&#x2F;Home</a>

Was surprised to see Cython support on this list. Can somebody elaborate on the relationship between the two? I had always viewed them as alternatives.

Is PyPy <i>ideally</i> plug&#x27;n&#x27;play, i.e. is it supposed to be able to seamlessly replace the CPython interpreter (<i>ideally</i> in that it may not factually be completely compatible, but is it aimed to be completely compatible)?

Thanks @fijal and team for all the effort! This is awesome.<p>The last update on the Pypy+Pandas wiki[0] is from this August, and it mentions that there are still 15 outstanding failing tests. Does this release mean that 5.9 is now at 100% parity? What does the same metric look like for Pypy+Numpy, and where can that one be tracked if not 100% yet?<p>I am looking forward to migrating some pipelines over to 5.9 soon.<p>[0] <a href="https:&#x2F;&#x2F;bitbucket.org&#x2F;pypy&#x2F;pypy&#x2F;wiki&#x2F;cpyext_2_-_cython_and_pandas" rel="nofollow">https:&#x2F;&#x2F;bitbucket.org&#x2F;pypy&#x2F;pypy&#x2F;wiki&#x2F;cpyext_2_-_cython_and_p...</a>

I am glad to hear it!