
PyPy
Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and …
Download and Install | PyPy
Source 3.11 Source (tar.bz2); 3.11 Source (zip). 2.7 Source (tar.bz2); 2.7 Source (zip). More information Visit the more information page for other platforms, information about running …
What is PyPy? — PyPy documentation
Jul 15, 2025 · 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. …
Frequently Asked Questions — PyPy documentation
Jul 15, 2025 · What is PyPy? PyPy is a reimplementation of Python in Python, using the RPython translation toolchain. PyPy tries to find new answers about ease of creation, flexibility, …
PyPy - Features
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 …
Welcome to PyPy’s documentation!
Jul 15, 2025 · 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 …
Downloading and Installing PyPy
Jul 15, 2025 · The quickest way to start using PyPy is to download a prebuilt binary for your OS and architecture. You may be able to use either use the most recent release or one of our …
Towards PyPy3.11 - an update | PyPy
Jan 4, 2025 · PyPy run an instance of codepseed with a very old benchmarking suite that can still run Python2 (remember: that is the language of RPython underlying PyPy). The site runs on …
PyPy
Jun 15, 2025 · The PyPy team is proud to release version 7.3.19 of PyPy. This is primarily a bug-fix release fixing JIT-related problems and follows quickly on the heels of the previous release …
Differences between PyPy and CPython
CPython tries to do a gc.collect() automatically when the program finishes; not PyPy. (It is possible in both CPython and PyPy to design a case where several gc.collect() are needed …