Tips and tricks¶
Tips¶
Linux builds in containers¶
Linux wheels are built in manylinux
/musllinux
containers to provide binary compatible wheels on Linux, according to PEP 600 / PEP 656. Because of this, when building with cibuildwheel
on Linux, a few things should be taken into account:
-
Programs and libraries are not installed on the CI runner host, but rather should be installed inside the container - using
yum
formanylinux2010
ormanylinux2014
,apt-get
formanylinux_2_24
,dnf
formanylinux_2_28
andapk
formusllinux_1_1
ormusllinux_1_2
, or manually. The same goes for environment variables that are potentially needed to customize the wheel building.cibuildwheel
supports this by providing theCIBW_ENVIRONMENT
andCIBW_BEFORE_ALL
options to setup the build environment inside the running container. -
The project directory is copied into the container as
/project
, the output directory for the wheels to be copied out is/output
. In general, this is handled transparently bycibuildwheel
. For a more finegrained level of control however, the root of the host file system is mounted as/host
, allowing for example to access shared files, caches, etc. on the host file system. Note that/host
is not available on CircleCI and GitLab CI due to their Docker policies. -
Alternative Docker images can be specified with the
CIBW_MANYLINUX_*_IMAGE
/CIBW_MUSLLINUX_*_IMAGE
options to allow for a custom, preconfigured build environment for the Linux builds. See options for more details.
Building macOS wheels for Apple Silicon¶
cibuildwheel
supports both native builds and cross-compiling between arm64
(Apple Silicon) and x86_64
(Intel) architectures, including the cross-compatible universal2
format.
Overview of Mac architectures¶
You have several choices for wheels for Python 3.8+:
x86_64
¶
The traditional wheel for Apple, loads on Intel machines, and on Apple Silicon when running Python under Rosetta 2 emulation.
Due to a change in naming, Pip 20.3+ (or an installer using packaging 20.5+) is required to install a binary wheel on macOS Big Sur.
arm64
¶
The native wheel for macOS on Apple Silicon.
Requires Pip 20.3+ (or packaging 20.5+) to install.
universal2
¶
This wheel contains both architectures, causing it to be up to twice the size (data files do not get doubled, only compiled code). It requires Pip 20.3 (Packaging 20.6+) to load on Intel, and Pip 21.0.1 (Packaging 20.9+) to load on Apple Silicon.
The dual-architecture universal2
has a few benefits, but a key benefit
to a universal wheel is that a user can bundle these wheels into an
application and ship a single binary.
However, if you have a large library, then you might prefer to ship
the two single-arch wheels instead - x86_64
and arm64
. In rare cases,
you might want to build all three, but in that case, pip will not download
the universal wheels, because it prefers the most specific wheel
available.
What to provide?¶
Generally speaking, because Pip 20.3 is required for the universal2
wheel,
most packages should provide both x86_64
and one of universal2
/arm64
wheels. When Pip 20.3+ is common on macOS, then it might be possible to ship
only the universal2
wheel.
Opinions vary on which of arch-specific or universal2
wheels are best - some packagers prefer universal2
because it's one wheel for all Mac users, so simpler, and easier to build into apps for downstream users. However, because they contain code for both architectures, their file size is larger, meaning they consume more disk space and bandwidth, and are harder to build for some projects.
See GitHub issue 1333 for more discussion.
How?¶
It's easiest to build x86_64
wheels on x86_64
runners, and arm64
wheels on arm64
runners.
On GitHub Actions, macos-14
runners are arm64
, and macos-13
runners are x86_64
. So all you need to do is ensure both are in your build matrix.
Cross-compiling¶
If your CI provider doesn't offer arm64 runners yet, or you want to create universal2
, you'll have to cross-compile. Cross-compilation can be enabled by adding extra archs to the CIBW_ARCHS_MACOS
option - e.g. CIBW_ARCHS_MACOS="x86_64 universal2"
. Cross-compilation is provided by Xcode toolchain v12.2+.
Regarding testing,
- On an arm64 runner, it is possible to test x86_64 wheels and both parts of a universal2 wheel using Rosetta 2 emulation.
- On an x86_64 runner, arm64 code can be compiled but it can't be tested.
cibuildwheel
will raise a warning to notify you of this - these warnings can be silenced by skipping testing on these platforms:CIBW_TEST_SKIP: "*_arm64 *_universal2:arm64"
.
Note
If your project uses Poetry as a build backend, cross-compiling on macOS does not currently work. In some cases arm64 wheels can be built but their tags will be incorrect, with the platform tag showing x86_64
instead of arm64
.
As a workaround, the tag can be fixed before running delocate to repair the wheel. The wheel tags
command is ideal for this. See this workflow for an example usage of wheel tags
.
Building Linux wheels for non-native archs using emulation¶
cibuildwheel supports building non-native architectures on Linux, via emulation through the binfmt_misc kernel feature. The easiest way to use this is via the docker/setup-qemu-action on GitHub Actions or tonistiigi/binfmt.
Check out the following config for an example of how to set it up on GitHub
Actions. Once QEMU is set up and registered, you just need to set the
CIBW_ARCHS_LINUX
environment variable (or use the --archs
option on
Linux), and the other architectures are emulated automatically.
.github/workflows/build.yml
name: Build
on: [push, pull_request]
jobs:
build_wheels:
name: Build wheels on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
# macos-13 is an intel runner, macos-14 is apple silicon
os: [ubuntu-latest, windows-latest, macos-13, macos-14]
steps:
- uses: actions/checkout@v4
- name: Set up QEMU
if: runner.os == 'Linux'
uses: docker/setup-qemu-action@v3
with:
platforms: all
- name: Build wheels
uses: pypa/cibuildwheel@v2.21.3
env:
# configure cibuildwheel to build native archs ('auto'), and some
# emulated ones
CIBW_ARCHS_LINUX: auto aarch64 ppc64le s390x
- uses: actions/upload-artifact@v4
with:
name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
path: ./wheelhouse/*.whl
Building CPython ABI3 wheels (Limited API)¶
The CPython Limited API is a subset of the Python C Extension API that's declared to be forward-compatible, meaning you can compile wheels for one version of Python, and they'll be compatible with future versions. Wheels that use the Limited API are known as ABI3 wheels.
To create a package that builds ABI3 wheels, you'll need to configure your build backend to compile libraries correctly create wheels with the right tags. Check this repo for an example of how to do this with setuptools.
You could also consider running abi3audit against the produced wheels in order to check for abi3 violations or inconsistencies. You can run it alongside the default in your CIBW_REPAIR_WHEEL_COMMAND.
Packages with optional C extensions¶
cibuildwheel
defines the environment variable CIBUILDWHEEL
to the value 1
allowing projects for which the C extension is optional to make it mandatory when building wheels.
An easy way to do it in Python 3 is through the optional
named argument of Extension
constructor in your setup.py
:
myextension = Extension(
"myextension",
["myextension.c"],
optional=os.environ.get('CIBUILDWHEEL', '0') != '1',
)
Automatic updates using Dependabot¶
Selecting a moving target (like the latest release) is generally a bad idea in CI. If something breaks, you can't tell whether it was your code or an upstream update that caused the breakage, and in a worse-case scenario, it could occur during a release.
There are two suggested methods for keeping cibuildwheel up to date that instead involve scheduled pull requests using GitHub's Dependabot.
Option 1: GitHub Action¶
If you use GitHub Actions for builds, you can use cibuildwheel as an action:
uses: pypa/cibuildwheel@v2.21.3
This is a composite step that just runs cibuildwheel using pipx. You can set command-line options as with:
parameters, and use env:
as normal.
Then, your .github/dependabot.yml
file could look like this:
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
Option 2: Requirement files¶
The second option, and the only one that supports other CI systems, is using a requirements-*.txt
file. The file should have a distinct name and have only one entry:
# requirements-cibw.txt
cibuildwheel==2.21.3
Then your install step would have python -m pip install -r requirements-cibw.txt
in it. Your .github/dependabot.yml
file could look like this:
version: 2
updates:
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: "daily"
This will also try to update other pins in all requirement files, so be sure you want to do that. The only control you have over the files used is via the directory option.
Alternatives to cibuildwheel options¶
cibuildwheel provides lots of opportunities to configure the build environment. However, you might consider adding this build configuration into the package itself - in general, this is preferred, because users of your package 'sdist' will also benefit.
Missing build dependencies¶
If your build needs Python dependencies, rather than using CIBW_BEFORE_BUILD
, it's best to add these to the
build-system.requires
section of your pyproject.toml. For example, if your project requires Cython
to build, your pyproject.toml might include a section like this:
[build-system]
requires = [
"setuptools>=42",
"Cython",
]
build-backend = "setuptools.build_meta"
Actions you need to perform before building¶
You might need to run some other commands before building, like running a script that performs codegen or downloading some data that's not stored in your source tree.
Rather than using CIBW_BEFORE_ALL
or CIBW_BEFORE_BUILD
, you could incorporate
these steps into your package's build process. For example, if you're using
setuptools, you can add steps to your package's setup.py
using a structure
like this:
import subprocess
import setuptools
import setuptools.command.build_py
class BuildPyCommand(setuptools.command.build_py.build_py):
"""Custom build command."""
def run(self):
# your custom build steps here
# e.g.
# subprocess.run(['python', 'scripts/my_custom_script.py'], check=True)
setuptools.command.build_py.build_py.run(self)
setuptools.setup(
cmdclass={
'build_py': BuildPyCommand,
},
# Usual setup() args.
# ...
)
Compiler flags¶
Your build might need some compiler flags to be set through environment variables.
Consider incorporating these into your package, for example, in setup.py
using extra_compile_args
or
extra_link_args
.
Python 2.7 / PyPy2 wheels¶
See the cibuildwheel version 1 docs for information about building Python 2.7 or PyPy2 wheels. There are lots of tricks and workaround there that are no longer required for Python 3 in cibuildwheel 2.
Troubleshooting¶
If your wheel didn't compile, you might have a mistake in your config.
To quickly test your config without doing a git push and waiting for your code to build on CI, you can test the Linux build in a local Docker container.
Missing dependencies¶
Sometimes a build will fail due to a missing dependency.
If the build is missing a Python package, you should add it to pyproject.toml.
If you need a build tool (e.g. cmake, automake, ninja), you can install it through a package manager like apt/yum, brew or choco, using the CIBW_BEFORE_ALL
option.
If your build is linking into a native library dependency, you can build/install that in CIBW_BEFORE_ALL
. However, on Linux, Mac (and Windows if you're using delvewheel), the library that you install will be bundled into the wheel in the repair step. So take care to ensure that
- the bundled library doesn't accidentally increase the minimum system requirements (such as the minimum macOS version)
- the bundled library matches the architecture of the wheel you're building when cross-compiling
This is particularly an issue on macOS, where de facto package manager Homebrew will install libraries that are compiled for the specific version of macOS that the build machine is running, rendering the wheels useless for any previous version. And brew will not install the right arch for cross compilation of Apple Silicon wheels.
For these reasons, it's strongly recommended to not use brew for native library dependencies. Instead, we recommend compiling the library yourself. If you compile in the CIBW_BEFORE_ALL
step, cibuildwheel will have already set the appropriate MACOSX_DEPLOYMENT_TARGET
env var, so the library will target the correct version of macOS.
Tip
For build steps, Homebrew is still a great resource - you can look up the build formula and use that as a starting point.
Building Rust wheels¶
If you build Rust wheels, you need to download the Rust compilers in manylinux. If you support 32-bit Windows, you need to add this as a potential target. You can do this on GitHub Actions, for example, with:
CIBW_BEFORE_ALL_LINUX: curl -sSf https://sh.rustup.rs | sh -s -- -y
CIBW_BEFORE_ALL_WINDOWS: rustup target add i686-pc-windows-msvc
CIBW_ENVIRONMENT_LINUX: "PATH=$HOME/.cargo/bin:$PATH"
Rust does not provide Cargo for musllinux 32-bit, so that needs to be skipped:
[tool.cibuildwheel]
skip = ["*-musllinux_i686"]
Also see maturin-action which is optimized for Rust wheels, builds the non-Python Rust modules once, and can cross-compile (and can build 32-bit musl, for example).
macOS: ModuleNotFoundError¶
Calling cibuildwheel from a python3 script and getting a ModuleNotFoundError
? Due to a (fixed) bug in CPython, you'll need to unset the __PYVENV_LAUNCHER__
variable before activating a venv.
macOS: 'No module named XYZ' errors after running cibuildwheel¶
cibuildwheel
on Mac installs the distributions from Python.org system-wide during its operation. This is necessary, but it can cause some confusing errors after cibuildwheel has finished.
Consider the build script:
python3 -m pip install twine cibuildwheel
python3 -m cibuildwheel --output-dir wheelhouse
python3 -m twine upload wheelhouse/*.whl
# error: no module named 'twine'
This doesn't work because while cibuildwheel
was running, it installed a few new versions of 'python3', so the python3
run on line 3 isn't the same as the python3
that ran on line 1.
Solutions to this vary, but the simplest is to use pipx:
# most runners have pipx preinstalled, but in case you don't
python3 -m pip install pipx
pipx run cibuildwheel==2.21.3 --output-dir wheelhouse
pipx run twine upload wheelhouse/*.whl
macOS: Passing DYLD_LIBRARY_PATH to delocate¶
macOS has built-in System Integrity protections which limits the use of DYLD_LIBRARY_PATH
and LD_LIBRARY_PATH
so that it does not automatically pass to children processes. This means if you set DYLD_LIBRARY_PATH
before running cibuildwheel, or even set it in CIBW_ENVIRONMENT
, it will be stripped out of the environment before delocate is called.
To work around this, use a different environment variable such as REPAIR_LIBRARY_PATH
to store the library path, and set DYLD_LIBRARY_PATH
in CIBW_REPAIR_WHEEL_COMMAND_MACOS
, like this:
Environment variables
CIBW_REPAIR_WHEEL_COMMAND_MACOS: >
DYLD_LIBRARY_PATH=$REPAIR_LIBRARY_PATH delocate-wheel --require-archs {delocate_archs} -w {dest_dir} -v {wheel}
pyproject.toml
[tool.cibuildwheel.macos]
repair-wheel-command = """\
DYLD_LIBRARY_PATH=$REPAIR_LIBRARY_PATH delocate-wheel \
--require-archs {delocate_archs} -w {dest_dir} -v {wheel}\
"""
See #816, thanks to @phoerious for reporting.
macOS: Building CPython 3.8 wheels on arm64¶
If you're building on an arm64 runner, you might notice something strange about CPython 3.8 - unlike Python 3.9+, it's cross-compiled to arm64 from an x86_64 version of Python running under Rosetta emulation. This is because (despite the prevalence of arm64 versions of Python 3.8 from Apple and Homebrew) there is no officially supported Python.org installer of Python 3.8 for arm64.
This is fine for simple C extensions, but for more complicated builds on arm64 it becomes an issue.
So, if you want to build macOS arm64 wheels on an arm64 runner (e.g., macos-14
) on Python 3.8, before invoking cibuildwheel, you should install a native arm64 Python 3.8 interpreter on the runner:
GitHub Actions
- uses: actions/setup-python@v5
with:
python-version: 3.8
if: runner.os == 'macOS' && runner.arch == 'ARM64'
Generic
curl -o /tmp/Python38.pkg https://www.python.org/ftp/python/3.8.10/python-3.8.10-macos11.pkg
sudo installer -pkg /tmp/Python38.pkg -target /
sh "/Applications/Python 3.8/Install Certificates.command"
Then cibuildwheel will detect that it's installed and use it instead. However, you probably don't want to build x86_64 wheels on this Python, unless you're happy with them only supporting macOS 11+.
macOS: Library dependencies do not satisfy target MacOS¶
Since delocate 0.11.0 there is added verification that the library binary dependencies match the target macOS version. This is to prevent the situation where a wheel platform tag is lower than the actual minimum macOS version required by the library. To resolve this error you need to build the library to the same macOS version as the target wheel (for example using MACOSX_DEPLOYMENT_TARGET
environment variable).
Alternatively, you could set MACOSX_DEPLOYMENT_TARGET
in CIBW_ENVIRONMENT
to correctly label the wheel as incompatible with older macOS versions.
This error may happen when you install a library using a package manager like Homebrew, which compiles the library for the macOS version of the build machine. This is not suitable for wheels, as the library will only work on the same macOS version as the build machine. You should compile the library yourself, or use a precompiled binary that matches the target macOS version.
Windows: 'ImportError: DLL load failed: The specific module could not be found'¶
Visual Studio and MSVC link the compiled binary wheels to the Microsoft Visual C++ Runtime. Normally, the C parts of the runtime are included with Python, but the C++ components are not. When compiling modules using C++, it is possible users will run into problems on systems that do not have the full set of runtime libraries installed. The solution is to ask users to download the corresponding Visual C++ Redistributable from the Microsoft website and install it.
Additionally, Visual Studio 2019 started linking to an even newer DLL, VCRUNTIME140_1.dll
, besides the VCRUNTIME140.dll
that is included with recent Python versions (starting from Python 3.5; see here for more details on the corresponding Visual Studio & MSVC versions used to compile the different Python versions). To avoid this extra dependency on VCRUNTIME140_1.dll
, the /d2FH4-
flag can be added to the MSVC invocations (check out this issue for details and references). CPython 3.8.3 and all versions after it have this extra DLL, so it is only needed for 3.8 and earlier.
To add the /d2FH4-
flag to a standard setup.py
using setuptools
, the extra_compile_args
option can be used:
ext_modules=[
Extension(
'c_module',
sources=['extension.c'],
extra_compile_args=['/d2FH4-'] if sys.platform == 'win32' else []
)
],
To investigate the dependencies of a C extension (i.e., the .pyd
file, a DLL in disguise) on Windows, Dependency Walker is a great tool. For diagnosing a failing import, the dlltracer tool may also provide additional details.
Windows ARM64 builds¶
cibuildwheel
supports cross-compiling ARM64
wheels on all Windows runners, but a native ARM64 runner is required for testing. On non-native runners, tests for ARM64 wheels will be automatically skipped with a warning. Add "*-win_arm64"
to your CIBW_TEST_SKIP
setting to suppress the warning.
Cross-compilation on Windows relies on a supported build backend. Supported backends use an environment variable to specify their target platform (the one they are compiling native modules for, as opposed to the one they are running on), which is set in cibuildwheels/windows.py before building. Currently, setuptools>=65.4.1
and setuptools_rust
are the only supported backends.
By default, ARM64
is not enabled when running on non-ARM64 runners. Use CIBW_ARCHS
to select it.