Get all modules/packages used by a python project

user2109788 picture user2109788 · Mar 4, 2016 · Viewed 26.2k times · Source

I have a python GUI application. And now I need to know what all libraries the application links to. So that I can check the license compatibility of all the libraries.

I have tried using strace, but strace seems to report all the packages even if they are not used by the application.

And, I tried python ModuleFinder but it just returns the modules that are inside python2.7 and not system level packages that are linked.

So is there any way I can get all the libraries that are linked from my application?

Answer

SeF picture SeF · Dec 13, 2016

You can give a try to the library https://github.com/bndr/pipreqs found following the guide https://www.fullstackpython.com/application-dependencies.html


The library pipreqs is pip installable and automatically generates the file requirements.txt.

It contains all the imports libraries with versions you are using in the virtualenv or in the python correctly installed. Just type:

pip install pipreqs
pipreqs /home/project/location

It will print:

INFO: Successfully saved requirements file in /home/project/location/requirements.txt

In addition it is compatible with the pip install -r command: if you need to create a venv of your project, or update your current python version with compatible libraries, you just need to type:

pip install -r requirements.txt

I had the same problem and this library solved it for me. Not sure if it works for multiple layers of dependencies i.e. in case you have nested level of dependent libraries.

-- Edit 1:

If looking for a more sophisticated version manager, please consider as well pyvenv https://github.com/pyenv/pyenv. It blends virtualenv and pipreqs in the same tool, with some improvements over the version specification of pipreqs.

-- Edit 2:

If you want to split your library dependencies into different files (e.g. base, test, dev, docs) and have a way of managing the dependency tree, please take a look at pip-compile-multi.