Glossary
setup.py
is a script commonly used in the Python ecosystem for distributing Python packages. Written in Python itself, it acts as a build script for setuptools, a Python package that manages distributions. The setup.py
script includes metadata about the package such as its name, version, requirements, and much more.
When executed, the setup.py
file performs several tasks like building the package, installing dependencies, and packaging the code into distributable formats like .tar
files or .whl
files. It is a crucial part of making your Python code modular, reusable, and shareable.
This script essentially allows your package to be easily installed and distributed among different systems with the use of simple command-line instructions. So if you're a Python developer looking to share your library or software, understanding setup.py
is a must.
While we emphasize on Python's native capabilities, solutions like Socket can help you assess the behavior of Python packages and their dependencies, enhancing your package's safety before it even enters your codebase.
If you're building Python packages, you may wonder why you need a setup.py
file. The first reason is package distribution. With a setup.py
script, you can make your Python package available to a larger audience, ensuring that others can easily install and use your code.
The second reason is dependency management. Your Python package might require certain libraries or specific versions of libraries to function correctly. The setup.py
script can handle installing these dependencies automatically, making life easier for end-users.
The third reason is versioning. A setup.py
script allows you to define the version of your package. This helps in version control, as well as in updating the package in the future.
Finally, you may need to compile native extensions or perform other build steps that should happen before your package is used. setup.py
can handle these tasks, acting as the build and installation script for your Python package.
The setup.py
script is usually located in the root directory of your Python package. It's a simple Python script but follows a specific structure. Below is a basic outline of a setup.py
file:
from setuptools import setup, find_packages
setup(
name='your_package',
version='0.1',
packages=find_packages(),
install_requires=[
'required_package1',
'required_package2',
],
entry_points={
'console_scripts': [
'your_command=your_package.module:function',
],
},
)
name
: Name of your package.version
: The version number.packages
: The Python packages that should be included.install_requires
: A list of dependencies that will be installed by pip when your package is installed.entry_points
: Optional but allows you to specify console scripts that should be available after installation.From this example, it's clear that setup.py
is designed to be easily read, both by humans and machines. It lays the groundwork for more sophisticated distribution mechanisms, which is crucial for package maintainers and developers.
Executing the setup.py
script is usually done through the command line. Depending on what you want to do, different commands are available.
python setup.py install
: This will install the package onto your system.python setup.py sdist
: This will create a source distribution.python setup.py bdist_wheel
: This creates a built distribution in the Wheel format.python setup.py develop
: Installs the package in 'development mode', meaning changes to the source code will immediately affect the installed package without needing a reinstallation.After running these commands, the built distribution files are generally stored in a dist/
folder within your project directory. You can then distribute these files or upload them to package repositories like PyPI (Python Package Index).
When distributing packages, security should be a top concern. Your setup.py
file might include dependencies that have vulnerabilities or even malicious code. Traditional security scanners and static analysis tools fall short when it comes to protecting against such risks in real-time.
Socket, however, provides a proactive approach to mitigating these risks. With its deep package inspection, it can identify suspicious package behavior, such as risky API usage or permission creep, thus adding a layer of safety to your package distribution pipeline.
setup.py
is most useful when:
Understanding the practical use-cases for setup.py
can help you better distribute your Python packages, manage dependencies, and even contribute to other open-source projects.
While setup.py
is a powerful tool, there are common mistakes to avoid:
With Python's evolving ecosystem, setup.py
is gradually being superseded by newer, more straightforward standards like pyproject.toml
for defining package metadata and dependencies. While setup.py
is not yet deprecated and continues to be widely used, it’s good to keep an eye on these emerging trends.
When writing a setup.py
script, keep these tips in mind:
find_packages()
from setuptools to automatically discover and include all packages in your package directory.requirements.txt
file to manage dependencies, which can then be included in setup.py
.extras_require
to specify optional dependencies.entry_points
to specify executables, which is a more cross-platform way than using shebangs in script files.Despite the advancements in Python's packaging ecosystem, setup.py
remains a foundational script for distributing Python packages. It provides the necessary functionality to build, package, and distribute Python software, making it easier for developers to share their creations and for users to install and manage Python packages.
While technologies like Socket bring a new layer of safety to Python's packaging ecosystem by proactively identifying vulnerabilities and suspicious behaviors in dependencies, mastering the basics of setup.py
will ensure that you're well-prepared to distribute your Python packages effectively and securely.
Table of Contents
Introduction: What is setup.py?
Why Do You Need setup.py?
The Anatomy of a setup.py File
Running and Using setup.py
Safety Checks in Package Distribution
Practical Examples: When and Where to Use setup.py
Common Mistakes and Pitfalls
Transitioning to Newer Standards
Tips for Writing a Robust setup.py File
Conclusion: Why setup.py Still Matters