What is the difference between installing a package using pip vs. apt-get?
Question:
I’m trying to deploy a Django site on an Ubuntu machine. I need to install Psycopg2 and PIL but it seems that I’m able to install them using either apt-get or using pip. Is there a difference in installing by the two methods? I know that using pip, I’m able to install it into a virtual environment but with apt-get it installs in the global python environment.
Answers:
You probably already know the benefits of apt-get. Automatic update notifications, other apt-installed packages that need those tools know they’re installed, etc.
With pip, you know you’re getting the latest version at the time you install it, you can install to a non-default version of Python, and you can install to a virtualenv.
If you don’t need any of the features pip gives you, and you don’t routinely have to install other Python packages which aren’t available over APT, use the APT versions.
I always recommend installing Python package with pip, because some OS package managers do packages customizations, and it can either break or change package’s behavior.
If you need to install a package globally:
$ sudo pip install PACKAGE
And it will try to download your package from PyPI or project’s links.
Most answers to this question miss one of the advantages using apt-get:
apt-get is pre-compiled, which installs much faster than pip.
To install numpy, matplotlib, pandas, and other scipy-related modules, apt-get only takes seconds; pip can easily consume 10min+.
If you have root access and don’t mind a little outdated versions, apt-get is the fast & worry-free way to go.
You should be aware that what makes it in the package manager undergoes some integration testing, while what is in Pypi is untested.
Pypi is OK for development.
In production, you may go with Pypi, but you will soon learn that you can always rely on what is in the package manager…
Which one should you use:
Both apt-get and pip are mature package managers which automatically install any other package dependency while installing. You may use anyone as you like. However, if you need to install a particular version of python-package, or install the package in a virtualenv, or install a package which is only hosted on PyPI; only pip would help you solve that issue. Otherwise, if you don’t mind installing the packages in system-wide location it doesn’t really matter whether you use apt-get or pip.
I found something about this.
My ubuntu has both python version 3.6 and 3.7. When apt install python3-xxx, xxx will be installed at /usr/lib/python3/dist-packages, but pip3 install xxx at /usr/local/lib/python3.7(my default python version)/dist-packages. And when change python to version 3.6, xxx installed by pip3 could not work, while installed by apt works fine.
Sometimes the names are different:
sudo apt install libopencv-dev python3-opencv
pip install opencv-python
But sometimes the same:
I’m trying to deploy a Django site on an Ubuntu machine. I need to install Psycopg2 and PIL but it seems that I’m able to install them using either apt-get or using pip. Is there a difference in installing by the two methods? I know that using pip, I’m able to install it into a virtual environment but with apt-get it installs in the global python environment.
You probably already know the benefits of apt-get. Automatic update notifications, other apt-installed packages that need those tools know they’re installed, etc.
With pip, you know you’re getting the latest version at the time you install it, you can install to a non-default version of Python, and you can install to a virtualenv.
If you don’t need any of the features pip gives you, and you don’t routinely have to install other Python packages which aren’t available over APT, use the APT versions.
I always recommend installing Python package with pip, because some OS package managers do packages customizations, and it can either break or change package’s behavior.
If you need to install a package globally:
$ sudo pip install PACKAGE
And it will try to download your package from PyPI or project’s links.
Most answers to this question miss one of the advantages using apt-get:
apt-get is pre-compiled, which installs much faster than pip.
To install numpy, matplotlib, pandas, and other scipy-related modules, apt-get only takes seconds; pip can easily consume 10min+.
If you have root access and don’t mind a little outdated versions, apt-get is the fast & worry-free way to go.
You should be aware that what makes it in the package manager undergoes some integration testing, while what is in Pypi is untested.
Pypi is OK for development.
In production, you may go with Pypi, but you will soon learn that you can always rely on what is in the package manager…
Which one should you use:
Both apt-get and pip are mature package managers which automatically install any other package dependency while installing. You may use anyone as you like. However, if you need to install a particular version of python-package, or install the package in a virtualenv, or install a package which is only hosted on PyPI; only pip would help you solve that issue. Otherwise, if you don’t mind installing the packages in system-wide location it doesn’t really matter whether you use apt-get or pip.
I found something about this.
My ubuntu has both python version 3.6 and 3.7. When apt install python3-xxx, xxx will be installed at /usr/lib/python3/dist-packages, but pip3 install xxx at /usr/local/lib/python3.7(my default python version)/dist-packages. And when change python to version 3.6, xxx installed by pip3 could not work, while installed by apt works fine.
Sometimes the names are different:
sudo apt install libopencv-dev python3-opencv
pip install opencv-python
But sometimes the same: