Difference between 'python setup.py install' and 'pip install' Difference between 'python setup.py install' and 'pip install' python python

Difference between 'python setup.py install' and 'pip install'


On the surface, both do the same thing: doing either python setup.py install or pip install <PACKAGE-NAME> will install your python package for you, with a minimum amount of fuss.

However, using pip offers some additional advantages that make it much nicer to use.

  • pip will automatically download all dependencies for a package for you. In contrast, if you use setup.py, you often have to manually search out and download dependencies, which is tedious and can become frustrating.
  • pip keeps track of various metadata that lets you easily uninstall and update packages with a single command: pip uninstall <PACKAGE-NAME> and pip install --upgrade <PACKAGE-NAME>. In contrast, if you install a package using setup.py, you have to manually delete and maintain a package by hand if you want to get rid of it, which could be potentially error-prone.
  • You no longer have to manually download your files. If you use setup.py, you have to visit the library's website, figure out where to download it, extract the file, run setup.py... In contrast, pip will automatically search the Python Package Index (PyPi) to see if the package exists there, and will automatically download, extract, and install the package for you. With a few exceptions, almost every single genuinely useful Python library can be found on PyPi.
  • pip will let you easily install wheels, which is the new standard of Python distribution. More info about wheels.
  • pip offers additional benefits that integrate well with using virtualenv, which is a program that lets you run multiple projects that require conflicting libraries and Python versions on your computer. More info.
  • pip is bundled by default with Python as of Python 2.7.9 on the Python 2.x series, and as of Python 3.4.0 on the Python 3.x series, making it even easier to use.

So basically, use pip. It only offers improvements over using python setup.py install.


If you're using an older version of Python, can't upgrade, and don't have pip installed, you can find more information about installing pip at the following links:

pip, by itself, doesn't really require a tutorial. 90% of the time, the only command you really need is pip install <PACKAGE-NAME>. That said, if you're interested in learning more about the details of what exactly you can do with pip, see:

It is also commonly recommended that you use pip and virtualenv together. If you're a beginner to Python, I personally think it'd be fine to start of with just using pip and install packages globally, but eventually I do think you should transition to using virtualenv as you tackle more serious projects.

If you'd like to learn more about using pip and virtualenv together, see:


python setup.py install is the analog of make install: it’s a limited way to compile and copy files to destination directories. This doesn’t mean that it’s the best way to really install software on your system.

pip is a package manager, which can install, upgrade, list and uninstall packages, like familiar package managers including: dpkg, apt, yum, urpmi, ports etc. Under the hood, it will run python setup.py install, but with specific options to control how and where things end up installed.

In summary: use pip.


The question is about the preferred method to install a local tarball containing a python package, NOT about the advantage of uploading package to an indexing service like PyPi.

As lest I know some software distributor does not upload their package to PyPi, instead asking developers to download package from their website and install.

python setup.py install

This can work but not recommended. It's not necessary to unwrap the tarball file and go into it to run setup.py file.

pip install ../path/to/packagename.tar.gz

This is the way designed and preferred. Concise and align with PyPi-style packages.

More information about pip install can be found here: https://pip.readthedocs.io/en/stable/reference/pip_install/