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 build sdist
-alike 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 <517#build-requirements>
. 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 setuptools
to package your project:
[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
Then, you will need a setup.cfg
or setup.py
to specify your package information, such as metadata, contents, dependencies, etc. Here we demonstrate the minimum
setup.cfg
[metadata]
name = mypackage
version = 0.0.1
[options]
packages = mypackage
install_requires =
requests
importlib; python_version == "2.6"
setup.py
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 :stdPyPA build <pypa-build:index>
which you can obtain via pip install build
. After downloading it, invoke the builder:
python -m build
You now have your distribution ready (e.g. a tar.gz
file and a .whl
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 the packages
keyword in setup.cfg
. However, for very large projects , it can be a big burden to keep the package list updated. setuptools
therefore provides two convenient tools to ease the burden: find:\
and 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 where
(omitted 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
Setuptools support automatic creation of scripts upon installation, that runs code within your package if you specify them with the entry_points
keyword. This is what allows you to run commands like pip install
instead of having to type python -m pip install
. To accomplish this, add the entry_points keyword in your setup.cfg
:
[options.entry_points]
console_scripts =
main = mypkg:some_func
When this project is installed, a main
script will be installed and will invoke the 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_point
.
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 dependency_management
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 simpliest use, you can simply use the include_package_data
keyword:
[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' MANIFEST.in
file. For more details, see datafiles
setuptools
allows you to install a package without copying any files to your interpretor 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 content:
import setuptools
setuptools.setup()
Then:
pip install --editable .
This creates a link file in your interpretor 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 arbitary scripts and boilerplate code, we are transitioning into a full-fledged setup.cfg
to declare your package information instead of running setup()
. This inevitably brings challenges due to a different syntax. Here we provide a quick guide to understanding how setup.cfg
is parsed by 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.