Installation and Status¶
Quick installation for CPython (cffi is distributed with PyPy):
pip install cffi
- or get the source code via the Python Package Index.
In more details:
This code has been developed on Linux, but should work on any POSIX platform as well as on Windows 32 and 64. (It relies occasionally on libffi, so it depends on libffi being bug-free; this may not be fully the case on some of the more exotic platforms.)
CFFI supports CPython 2.6, 2.7, 3.x (tested with 3.2 to 3.4); and is distributed with PyPy (CFFI 1.0 is distributed with and requires PyPy 2.6).
The core speed of CFFI is better than ctypes, with import times being either lower if you use the post-1.0 features, or much higher if you don’t. The wrapper Python code you typically need to write around the raw CFFI interface slows things down on CPython, but not unreasonably so. On PyPy, this wrapper code has a minimal impact thanks to the JIT compiler. This makes CFFI the recommended way to interface with C libraries on PyPy.
- CPython 2.6 or 2.7 or 3.x, or PyPy (PyPy 2.0 for the earliest versions of CFFI; or PyPy 2.6 for CFFI 1.0).
- in some cases you need to be able to compile C extension modules;
refer to the appropriate docs for your OS. This includes installing
CFFI from sources; or developing code based on
ffi.verify(); or installing such 3rd-party modules from sources.
- on CPython, on non-Windows platforms, you also need to install
libffi-devin order to compile CFFI itself.
- pycparser >= 2.06: https://github.com/eliben/pycparser (automatically
pip install cffi).
- py.test is needed to run the tests of CFFI itself.
Download and Installation:
- Or grab the most current version by following the instructions below.
- MD5: 45fd49ea2ebff794fc8b9556d4cde796
- SHA: af4484ec231710368455ad18644ce3b0c28c7c85
Or get it from the Bitbucket page:
hg clone https://bitbucket.org/cffi/cffi
python setup.py installor
python setup_base.py install(should work out of the box on Linux or Windows; see below for MacOS X or Windows 64.)
running the tests:
py.test c/ _cffi1/ testing/(if you didn’t install cffi yet, you may need
python setup_base.py build_ext -f -i)
- The demo directory contains a number of small and large demos
- The documentation below might be sketchy on details; for now the ultimate reference is given by the tests, notably testing/cffi1/test_verify1.py and testing/cffi0/backend_tests.py.
libffi is notoriously messy to install and use — to the point that
CPython includes its own copy to avoid relying on external packages.
CFFI does the same for Windows, but not for other platforms (which should
have their own working libffi’s).
Modern Linuxes work out of the box thanks to
pkg-config. Here are some
(user-supplied) instructions for other platforms.
Homebrew (Thanks David Griffin for this)
- Install homebrew: http://brew.sh
- Run the following commands in a terminal
brew install pkg-config libffi PKG_CONFIG_PATH=/usr/local/opt/libffi/lib/pkgconfig pip install cffi
Aternatively, on OS/X 10.6 (Thanks Juraj Sukop for this)
For building libffi you can use the default install path, but then, in
setup.py you need to change:
include_dirs = 
include_dirs = ['/usr/local/lib/libffi-3.0.11/include']
python setup.py build complains about “fatal error: error writing to -: Broken pipe”, which can be fixed by running:
ARCHFLAGS="-arch i386 -arch x86_64" python setup.py build
as described here.
Windows (regular 32-bit)¶
Win32 works and is tested at least each official release.
The recommended C compiler compatible with Python 2.7 is this one: http://www.microsoft.com/en-us/download/details.aspx?id=44266
For Python 3.4 and beyond: https://www.visualstudio.com/en-us/downloads/visual-studio-2015-ctp-vs
Win64 received very basic testing and we applied a few essential fixes in cffi 0.7. Please report any other issue.
Note as usual that this is only about running the 64-bit version of Python on the 64-bit OS. If you’re running the 32-bit version (the common case apparently), then you’re running Win32 as far as we’re concerned.