A fast, compliant alternative implementation of Python Download PyPy What is PyPy ? Documentation (external link) On average, PyPy is about 3 times faster than CPython 3.11. We currently
PyPy's sandboxing is a working prototype for the idea of running untrusted user programs. Unlike other sandboxing approaches for Python, PyPy's does not try to limit language features considered "unsafe". Instead we replace all calls to external libraries (C or platform) with a stub that communicates with an external process handling the policy ...
What is PyPy? Historically, PyPy has been used to mean two things. The first is the RPython translation toolchain for generating interpreters for dynamic programming languages. And the second is one particular implementation of Python produced with it. Because RPython uses the same syntax as Python, this generated version became known as Python interpreter written in Python. It is designed to ...
Welcome to PyPy’s documentation! Welcome to the documentation for PyPy, a fast, compliant alternative implementation of the Python language. If you want to find out more about what PyPy is, have a look at our What is PyPy? or consult the PyPy website. If you’re interested in trying PyPy out, check out the installation instructions.
PyPy supports a continually growing number of extension modules, but so far mostly only those found in the standard library. The language features (including builtin types and functions) are very refined and well tested, so if your project doesn’t use many extension modules there is a good chance that it will work with PyPy.
We provide pre-compiled binaries for many platforms and OSes. Note Our nightly binary builds have the most recent bugfixes and performance improvements, though they can be less stable than the offici
Downloading and Installing PyPy Just like CPython, you need a base interpreter environment and then can install extra packages. The choices for installing the base interpreter are: Use conda (x86_64 windows, macOS, linux, arm64 linux) Use your distribution package manager (linux) Use homebrew (macOS) Use the prebuilt tarballs Build from source
Differences between PyPy and CPython This page documents the few differences and incompatibilities between the PyPy Python interpreter and CPython. Some of these differences are “by design”, since we think that there are cases in which the behaviour of CPython is buggy, and we do not want to copy bugs. Differences that are not listed here should be considered bugs of PyPy.
Modules in PyPy Modules visible from application programs are imported from interpreter or application level files. PyPy reuses almost all python modules of CPython’s standard library, currently from version 2.7.8. We sometimes need to modify modules and - more often - regression tests because they rely on implementation details of CPython.
The goal of this page is to point out some of the differences between running python with PyPy and with CPython TL;DR Pure python code works, but there are a few differences with object lifetime mana
