To install the latest version of setuptools, use:
pip install --upgrade setuptools
The landscape of Python packaging is shifting and
Setuptools has evolved to
only provide backend support, no longer being the de-facto packaging tool in
the market. All python package must provide a
pyproject.toml and specify
the backend (build system) it wants to use. The distribution can then
be generated with whatever tools that provides a
functionality. While this may appear cumbersome, given the added pieces,
it in fact tremendously enhances the portability of your package. The
change is driven under PEP 517. To learn more about Python packaging in general,
navigate to the bottom of this page.
For basic use of setuptools, you will need a
pyproject.toml with the
exact following info, which declares you want to use
package your project:
[build-system] requires = ["setuptools", "wheel"] build-backend = "setuptools.build_meta"
Then, you will need a
setup.py to specify your package
information, such as metadata, contents, dependencies, etc. Here we demonstrate
[metadata] name = mypackage version = 0.0.1 [options] packages = mypackage install_requires = requests importlib; python_version == "2.6"
from setuptools import setup setup( name='mypackage', version='0.0.1', packages=['mypackage'], install_requires=[ 'requests', 'importlib; python_version == "2.6"', ], )
This is what your project would look like:
~/mypackage/ pyproject.toml setup.cfg # or setup.py mypackage/__init__.py
Then, you need an builder, such as PyPA build
which you can obtain via
pip install build. After downloading it, invoke
python -m build
You now have your distribution ready (e.g. a
tar.gz file and a
file in the
dist directory), which you can upload to PyPI!
Of course, before you release your project to PyPI, you’ll want to add a bit more information to your setup script to help people find or learn about your project. And maybe your project will have grown by then to include a few dependencies, and perhaps some data files and scripts. In the next few sections, we will walk through those additional but essential information you need to specify to properly package your project.
For simple projects, it’s usually easy enough to manually add packages to
packages keyword in
setup.cfg. However, for very large projects
, it can be a big burden to keep the package list updated.
therefore provides two convenient tools to ease the burden:
find_namespace:. To use it in your project:
[options] packages = find: [options.packages.find] #optional include=pkg1, pkg2 exclude=pk3, pk4
When you pass the above information, alongside other necessary ones,
setuptools walks through the directory specified in
here as the package reside in current directory) and filters the packages
it can find following the
include (default to none), then remove
those that match the
exclude and return a list of Python packages. Note
that each entry in the
[options.packages.find] is optional. The above
setup also allows you to adopt a
src/ layout. For more details and advanced
use, go to Package Discovery and Namespace Package
Setuptools support automatic creation of scripts upon installation, that runs
code within your package if you specify them with the
This is what allows you to run commands like
pip install instead of having
python -m pip install. To accomplish this, add the entry_points
keyword in your
[options.entry_points] console_scripts = main = mypkg:some_func
When this project is installed, a
main script will be installed and will
some_func in the
__init__.py file when called by the user.
For detailed usage, including managing the additional or optional dependencies,
go to Entry Points.
setuptools supports automatically installing dependencies when a package is
installed. The simplest way to include requirement specifiers is to use the
install_requires argument to
setup.cfg. It takes a string or list of
strings containing requirement specifiers (A version specifier is one of the
operators <, >, <=, >=, == or !=, followed by a version identifier):
[options] install_requires = docutils >= 0.3 requests <= 0.4
When your project is installed, all of the dependencies not already installed
will be located (via PyPI), downloaded, built (if necessary), and installed.
This, of course, is a simplified scenarios.
setuptools also provide
additional keywords such as
setup_requires that allows you to install
dependencies before running the script, and
extras_requires that take
care of those needed by automatically generated scripts. It also provides
mechanisms to handle dependencies that are not in PyPI. For more advanced use,
see Dependencies Management in Setuptools
The distutils have traditionally allowed installation of “data files”, which
are placed in a platform-specific location. Setuptools offers three ways to
specify data files to be included in your packages. For the simplest use, you
can simply use the
[options] include_package_data = True
This tells setuptools to install any data files it finds in your packages.
The data files must be specified via the distutils’
For more details, see Data Files Support
setuptools allows you to install a package without copying any files
to your interpreter directory (e.g. the
site-packages directory). This
allows you to modify your source code and have the changes take effect without
you having to rebuild and reinstall. This is currently incompatible with
PEP 517 and therefore it requires a
setup.py script with the following
import setuptools setuptools.setup()
pip install --editable .
This creates a link file in your interpreter site package directory which associate with your source code. For more information, see: (WIP)
After generating the distribution files, next step would be to upload your distribution so others can use it. This functionality is provided by twine and we will only demonstrate the basic use here.
To avoid executing arbitrary scripts and boilerplate code, we are transitioning
into a full-fledged
setup.cfg to declare your package information instead
setup(). This inevitably brings challenges due to a different
syntax. Here we provide a quick guide to understanding how
setuptool to ease the pain of transition.
Packaging in Python is hard. Here we provide a list of links for those that want to learn more.