What is PyPy ?
- PyPy is an implementation of Python in Python which uses JIT(Just In Time) translation.
Why to Use PyPy?
- According to benchmarks “It depends greatly on the type of task being performed. The geometric average of all benchmarks is 0.18 or 5.6 times faster than CPython”.
I have used PyPy for sandboxing for my project pylive, tested flask with pypy, ported brubeck to work on pypy, tested lastuser in PyPy 2.0beta1. In the experiment
pypy-sandbox, requests, flask, werkzeug, jinja2, SQLAlchemy(postgres + sqlite), cython, greenlet, eventlet, markdown, gunicorn, dictshield, json, zmq was tested.
If the library depends on C extensions more likely it needs rewrite using cffi. Here is the bummer, so you can’t use your
requirements.txt to directly deploy with
PyPy. For an example:
pyzmq library is written in C. So you can’t run in PyPy, so one needs to use zmqpy, pyzmq.
brubeck after porting shows
PyPy din’t boost performance. This could be due to following reasons.
geventdoesn’t run on PyPy yet. :-(
eventletsupport for zmq is buggy.
Does any one use PyPy in production
Quora runs on pypy but no updates recently.
Twisted site run on PyPy.
There is a scientfic telescope project that runs on pypy(couldn’t locate the link).
Postgres driverruns without any issues, happy for that.
geventto support, after that there will be significant progress in speed of brubeck and adoption.
All my personal projects will be tested against pypy. Yes hopes are becoming true.
- Five reasons to use Py.test
- Build Plugins with Pluggy
- Render local images in datasette using datasette-render-local-images
- Parameterize Python Tests
- “Don’t touch your face” - Neural Network will warn you
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