10 Best Python Build Tools Libraries

Here are the best open-source Python build tools libraries for your applications. You can use these for automating software development and simplifying the process of managing dependencies, building, testing, and packaging applications. 

Python build tools libraries are essential for software development. They are used for managing dependencies, building, testing, and packaging applications. Numerous build tools libraries in Python help automate the software development process. These libraries are also used for the packaging and distribution of Python modules. They also provide functions like packaging modules into distributable formats, generating installation scripts, and publishing packages to PyPI (Python Package Index). They are also package managers used for installing and managing Python packages. They simplify the process of installing dependencies required by an application and resolve package version conflicts. Other Python build tools help automates testing across multiple virtual environments. Also, they can be used for building, testing, and packaging Python applications and managing different versions of Python on the same machine.

With the numerous build tools available, Python developers can choose the ones that best suit their needs and improve their development process. We have handpicked the top and trending open-source Python build tool libraries for your next application development project.

Setuptools:

• Used for packaging and distributing Python modules.
• Provides an easy way to package modules into distributable formats.
• Allows to generate installation scripts and publish packages to the Python Package Index (PyPI).

Pip:

• Used to simplify the process of installing and managing Python packages.
• It’s a widely used Python package manager that automatically resolves dependencies.
• Helps ensure that the required packages are installed in the correct order.

Virtualenv:

• Used to manage different versions of Python and their dependencies.
• Offers a tool for creating isolated Python environments.
• Allows working on multiple projects with different requirements without conflicts.

PyInstaller:

• Used to convert Python applications into standalone executables.
• Bundles a Python application and all its dependencies into a single package.
• The packaged app can run on any system without installing Python.

Tox:

• Used to run arbitrary commands in isolated environments.
• Allows to automate testing across multiple virtual environments.
• Helps to ensure that code works correctly across various Python versions and configurations.

Buildout:

• Used in DevOps, Continuous Integration applications, etc.
• Helps automate the creation of development and production environments.
• Useful in developing web applications, deploying software, and managing servers.

Cookiecutter:

• Used in Template Engine applications, etc.
• Allows to generate new Python projects from templates.
• Helps quickly create new projects with pre-configured settings and configurations.

Pybuilder:

• Used for building, testing, and packaging Python applications.
• Provides a simple way to manage dependencies.
• Allows to run unit tests and generate distributable packages.

Poetry:

• Used to simplify the management of Python dependencies.
• Provides a fast and reliable way to manage dependencies.
• Allows to create virtual environments and build and package Python projects.

Pyenv:

• Used to ensure that each project uses the correct Python version and dependencies.
• Offers a tool for managing multiple Python versions on the same system.
• Enables easy switching between different Python versions.