How do I get a list of locally installed Python modules?

Question

How do I get a list of Python modules installed on my computer?

Answer 1

help('modules')

in a Python shell/prompt.

Answer 2

Solution

Do not use with pip > 10.0!

My 50 cents for getting a pip freeze-like list from a Python script:

import pip
installed_packages = pip.get_installed_distributions()
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
     for i in installed_packages])
print(installed_packages_list)

As a (too long) one liner:

sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])

Giving:

['behave==1.2.4', 'enum34==1.0', 'flask==0.10.1', 'itsdangerous==0.24',
 'jinja2==2.7.2', 'jsonschema==2.3.0', 'markupsafe==0.23', 'nose==1.3.3',
 'parse-type==0.3.4', 'parse==1.6.4', 'prettytable==0.7.2', 'requests==2.3.0',
 'six==1.6.1', 'vioozer-metadata==0.1', 'vioozer-users-server==0.1',
 'werkzeug==0.9.4']

Scope

This solution applies to the system scope or to a virtual environment scope, and covers packages installed by setuptools, pip and (god forbid) easy_install.

My use case

I added the result of this call to my Flask server, so when I call it with http://example.com/exampleServer/environment I get the list of packages installed on the server's virtualenv. It makes debugging a whole lot easier.

Caveats

I have noticed a strange behaviour of this technique - when the Python interpreter is invoked in the same directory as a setup.py file, it does not list the package installed by setup.py.

Steps to reproduce:

Create a virtual environment

$ cd /tmp
$ virtualenv test_env
New python executable in test_env/bin/python
Installing setuptools, pip...done.
$ source test_env/bin/activate
(test_env) $

Clone a Git repository with setup.py

(test_env) $ git clone https://github.com/behave/behave.git
Cloning into 'behave'...
remote: Reusing existing pack: 4350, done.
remote: Total 4350 (delta 0), reused 0 (delta 0)
Receiving objects: 100% (4350/4350), 1.85 MiB | 418.00 KiB/s, done.
Resolving deltas: 100% (2388/2388), done.
Checking connectivity... done.

We have behave's setup.py in /tmp/behave:

(test_env) $ ls /tmp/behave/setup.py
    /tmp/behave/setup.py

Install the Python package from the Git repository

(test_env) $ cd /tmp/behave && pip install .
running install
...
Installed /private/tmp/test_env/lib/python2.7/site-packages/enum34-1.0-py2.7.egg
Finished processing dependencies for behave==1.2.5a1

If we run the aforementioned solution from /tmp

>>> import pip
>>> sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
['behave==1.2.5a1', 'enum34==1.0', 'parse-type==0.3.4', 'parse==1.6.4', 'six==1.6.1']
>>> import os
>>> os.getcwd()
'/private/tmp'

If we run the aforementioned solution from /tmp/behave

>>> import pip
>>> sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
['enum34==1.0', 'parse-type==0.3.4', 'parse==1.6.4', 'six==1.6.1']
>>> import os
>>> os.getcwd()
'/private/tmp/behave'

behave==1.2.5a1 is missing from the second example, because the working directory contains behave's setup.py file.

I could not find any reference to this issue in the documentation. Perhaps I shall open a bug for it.

Answer 3

Now, these methods I tried myself, and I got exactly what was advertised: All the modules.

Alas, really you don't care much about the stdlib. You know what you get with a Python install.

Really, I want the stuff that I installed.

What actually, surprisingly, worked just fine was:

pip freeze

Which returned:

Fabric==0.9.3
apache-libcloud==0.4.0
bzr==2.3b4
distribute==0.6.14
docutils==0.7
greenlet==0.3.1
ipython==0.10.1
iterpipes==0.4
libxml2-python==2.6.21

I say "surprisingly", because the package install tool is the exact place one would expect to find this functionality, although not under the name 'freeze', but Python packaging is so weird that I am flabbergasted that this tool makes sense. Pip 0.8.2 and Python 2.7.

Answer 4

Since pip version 1.3, you've got access to:

pip list

Which seems to be syntactic sugar for "pip freeze". It will list all of the modules particular to your installation or virtualenv, along with their version numbers. Unfortunately, it does not display the current version number of any module, nor does it wash your dishes or shine your shoes.

Answer 5

• In ipython you can type "importTab".

• In the standard Python interpreter, you can type "help('modules')".

• At the command-line, you can use pydoc modules.

• In a script, call pkgutil.iter_modules().

Answer 6

I just use this to see currently used modules:

import sys as s
s.modules.keys()

which shows all modules running on your python.

For all built-in modules use:

s.modules

Which is a dict containing all modules and import objects.

Answer 7

In a normal shell, just use

pydoc modules

Answer 8

As of pip 10, the accepted answer will no longer work. The development team has removed access to the get_installed_distributions routine. There is an alternate function in the setuptools for doing the same thing. Here is an alternate version that works with pip 10:

import pkg_resources
installed_packages = pkg_resources.working_set
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
     for i in installed_packages])
print(installed_packages_list)

Please let me know if it will or won't work in previous versions of pip, too.

Answer 9

Works Regardless of Pip Version

Run the following in your python editor or IPython:

import pkg_resources
installed_packages = {d.project_name: d.version for d in pkg_resources.working_set}
print(installed_packages)

Read other answers and pulled together this combo, which is quickest and easiest inside Python.

Find the specific Packages

Conveniently you can then get items from your dict easily, i.e.

installed_packages['pandas'] >> '1.16.4'

Using Pip List Well

!pip list will run inside your jupyter notebook if working there, simplifying the 'quick check' Combine with other utilities like grep(if you have installed) pip list | grep pandas will get you your current pandas version for example

Answer 10

If we need to list the installed packages in the Python shell, we can use the help command as follows

>>> help('modules package')

Answer 11

I normally use pip list to get a list of packages (with version).

This works in a virtual environment too, of course. To show what's installed in only the virtual environment (not global packages), use pip list --local.

Here's documentation showing all the available pip list options, with several good examples.

Answer 12

$ pip freeze -- Output installed packages in requirements format
$ pip list -- List installed packages.

Answer 13

This will help

In a terminal or IPython, type:

help('modules')

then

In [1]: import                      #import press-TAB
Display all 631 possibilities? (y or n)
ANSI                   audiodev               markupbase
AptUrl                 audioop                markupsafe
ArgImagePlugin         avahi                  marshal
BaseHTTPServer         axi                    math
Bastion                base64                 md5
BdfFontFile            bdb                    mhlib
BmpImagePlugin         binascii               mimetools
BufrStubImagePlugin    binhex                 mimetypes
CDDB                   bisect                 mimify
CDROM                  bonobo                 mmap
CGIHTTPServer          brlapi                 mmkeys
Canvas                 bsddb                  modulefinder
CommandNotFound        butterfly              multifile
ConfigParser           bz2                    multiprocessing
ContainerIO            cPickle                musicbrainz2
Cookie                 cProfile               mutagen
Crypto                 cStringIO              mutex
CurImagePlugin         cairo                  mx
DLFCN                  calendar               netrc
DcxImagePlugin         cdrom                  new
Dialog                 cgi                    nis
DiscID                 cgitb                  nntplib
DistUpgrade            checkbox               ntpath

Answer 14

This solution is primary based on modules importlib and pkgutil and work with CPython 3.4 and CPython 3.5, but has no support for the CPython 2.

---

Explanation

1. sys.builtin_module_names - names all built-in modules (look my answer here)
2. pkgutil.iter_modules() - returns an information about all available modules
3. importlib.util.find_spec() - returns an information about importing module, if exists
4. BuiltinImporter - an importer for built-in modules (docs)
5. SourceFileLoader - an importer for a standard Python module (by default has extension *.py) (docs)
6. ExtensionFileLoader - an importer for modules as shared library (written on the C or C++)

---

Full code

import sys
import os
import shutil
import pkgutil
import importlib
import collections

if sys.version_info.major == 2:
    raise NotImplementedError('CPython 2 is not supported yet')


def main():

    # Name this file (module)
    this_module_name = os.path.basename(__file__).rsplit('.')[0]

    # Dict for loaders with their modules
    loaders = collections.OrderedDict()

    # Names's of build-in modules
    for module_name in sys.builtin_module_names:

        # Find an information about a module by name
        module = importlib.util.find_spec(module_name)

        # Add a key about a loader in the dict, if not exists yet
        if module.loader not in loaders:
            loaders[module.loader] = []

        # Add a name and a location about imported module in the dict
        loaders[module.loader].append((module.name, module.origin))

    # All available non-build-in modules
    for module_name in pkgutil.iter_modules():

        # Ignore this module
        if this_module_name == module_name[1]:
            continue

        # Find an information about a module by name
        module = importlib.util.find_spec(module_name[1])

        # Add a key about a loader in the dict, if not exists yet
        loader = type(module.loader)
        if loader not in loaders:
            loaders[loader] = []

        # Add a name and a location about imported module in the dict
        loaders[loader].append((module.name, module.origin))

    # Pretty print
    line = '-' * shutil.get_terminal_size().columns
    for loader, modules in loaders.items():
        print('{0}\n{1}: {2}\n{0}'.format(line, len(modules), loader))
        for module in modules:
            print('{0:30} | {1}'.format(module[0], module[1]))


if __name__ == '__main__':
    main()

---

Usage

For the CPython 3.5 (truncated)

python3.5 python_modules_info.py

Output:

------------------------------------------------------------------------------------------------------------------------------------------------------------------------
30: <class '_frozen_importlib.BuiltinImporter'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
_ast                           | built-in
_codecs                        | built-in
_collections                   | built-in
_functools                     | built-in
_imp                           | None
_io                            | built-in
_locale                        | built-in
_operator                      | built-in
_signal                        | built-in
_sre                           | built-in
_stat                          | built-in
_string                        | built-in
_symtable                      | built-in
_thread                        | built-in
(****************************truncated*******************************)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
227: <class '_frozen_importlib_external.SourceFileLoader'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
__future__                     | /usr/local/lib/python3.5/__future__.py
_bootlocale                    | /usr/local/lib/python3.5/_bootlocale.py
_collections_abc               | /usr/local/lib/python3.5/_collections_abc.py
_compat_pickle                 | /usr/local/lib/python3.5/_compat_pickle.py
_compression                   | /usr/local/lib/python3.5/_compression.py
_dummy_thread                  | /usr/local/lib/python3.5/_dummy_thread.py
_markupbase                    | /usr/local/lib/python3.5/_markupbase.py
_osx_support                   | /usr/local/lib/python3.5/_osx_support.py
_pydecimal                     | /usr/local/lib/python3.5/_pydecimal.py
_pyio                          | /usr/local/lib/python3.5/_pyio.py
_sitebuiltins                  | /usr/local/lib/python3.5/_sitebuiltins.py
(****************************truncated*******************************)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
64: <class '_frozen_importlib_external.ExtensionFileLoader'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
_bisect                        | /usr/local/lib/python3.5/lib-dynload/_bisect.cpython-35m-x86_64-linux-gnu.so
_bz2                           | /usr/local/lib/python3.5/lib-dynload/_bz2.cpython-35m-x86_64-linux-gnu.so
_codecs_cn                     | /usr/local/lib/python3.5/lib-dynload/_codecs_cn.cpython-35m-x86_64-linux-gnu.so
_codecs_hk                     | /usr/local/lib/python3.5/lib-dynload/_codecs_hk.cpython-35m-x86_64-linux-gnu.so
_codecs_iso2022                | /usr/local/lib/python3.5/lib-dynload/_codecs_iso2022.cpython-35m-x86_64-linux-gnu.so
(****************************truncated*******************************)

For the CPython 3.4 (truncated)

python3.4 python_modules_info.py

Output:

------------------------------------------------------------------------------------------------------------------------------------------------------------------------
54: <class '_frozen_importlib.BuiltinImporter'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
_ast                           | built-in
_bisect                        | built-in
_codecs                        | built-in
_collections                   | built-in
_datetime                      | built-in
_elementtree                   | built-in
_functools                     | built-in
_heapq                         | built-in
_imp                           | None
_io                            | built-in
_locale                        | built-in
_md5                           | built-in
_operator                      | built-in
_pickle                        | built-in
_posixsubprocess               | built-in
_random                        | built-in
(****************************truncated*******************************)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
246: <class '_frozen_importlib.SourceFileLoader'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
__future__                     | /usr/lib/python3.4/__future__.py
_bootlocale                    | /usr/lib/python3.4/_bootlocale.py
_collections_abc               | /usr/lib/python3.4/_collections_abc.py
_compat_pickle                 | /usr/lib/python3.4/_compat_pickle.py
_dummy_thread                  | /usr/lib/python3.4/_dummy_thread.py
_markupbase                    | /usr/lib/python3.4/_markupbase.py
_osx_support                   | /usr/lib/python3.4/_osx_support.py
_pyio                          | /usr/lib/python3.4/_pyio.py
(****************************truncated*******************************)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
44: <class '_frozen_importlib.ExtensionFileLoader'>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
_bz2                           | /usr/lib/python3.4/lib-dynload/_bz2.cpython-34m-x86_64-linux-gnu.so
_codecs_cn                     | /usr/lib/python3.4/lib-dynload/_codecs_cn.cpython-34m-x86_64-linux-gnu.so
_codecs_hk                     | /usr/lib/python3.4/lib-dynload/_codecs_hk.cpython-34m-x86_64-linux-gnu.so
_codecs_iso2022                | /usr/lib/python3.4/lib-dynload/_codecs_iso2022.cpython-34m-x86_64-linux-gnu.so
_codecs_jp                     | /usr/lib/python3.4/lib-dynload/_codecs_jp.cpython-34m-x86_64-linux-gnu.so
_codecs_kr                     | /usr/lib/python3.4/lib-dynload/_codecs_kr.cpython-34m-x86_64-linux-gnu.so
_codecs_tw                     | /usr/lib/python3.4/lib-dynload/_codecs_tw.cpython-34m-x86_64-linux-gnu.so
_crypt                         | /usr/lib/python3.4/lib-dynload/_crypt.cpython-34m-x86_64-linux-gnu.so
(****************************truncated*******************************)

Answer 15

Very simple searching using pkgutil.iter_modules

from pkgutil import iter_modules
a=iter_modules()
while True:
    try: x=a.next()
    except: break
    if 'searchstr' in x[1]: print x[1]

Answer 16

On Windows, enter this in cmd:

cd C:\python\libs
python -m pip freeze

Answer 17

I ran into a custom installed python 2.7 on OS X. It required X11 to list modules installed (both using help and pydoc).

To be able to list all modules without installing X11 I ran pydoc as http-server, i.e.:

pydoc -p 12345

Then it's possible to direct Safari to http://localhost:12345/ to see all modules.

Answer 18

I'm comparing five methods to retrieve installed "modules", all of which I've seen in this thread

	iter_modules	help("modules")	builtin_module_names	pip list	working_set
Includes distributions	❌	❌	❌	✔️	✔️
Includes modules (No built-in)	✔️	✔️	❌	❌	❌
Includes built-in modules	❌	✔️	✔️	❌	❌
Includes frozen	✔️	✔️	❌	❌	❌
Includes venv	✔️	✔️	❌	✔️	✔️
Includes global	✔️	✔️	❌	✔️	✔️
Includes editable installs	✔️	✔️	❌	✔️	✔️
Includes PyCharm helpers	✔️	❌	❌	❌	❌
Lowers capital letters	❌	❌	❌	❌	✔️
Time taken (665 modules total)	53.7 msec	1.03 sec	577 nsec	284 msec	36.2 usec

Summary

• pip list and working_set are for distributions, not modules.
• iter_modules and help("modules") are very similar, the biggest difference is that iter_modules doesn't include built-in.
• pip list and working_set are very similar, only difference is that working_set lowers all capital letters.
• Built-in modules are only included by help("modules") and builtin_module_names.

Related caveats

• Distributions, packages, and modules often have identical names making it easy to mistake one for the other.
• importlib.util.find_spec is for modules and is case-sensitive.
• sys.modules only lists imported modules.

Distributions

I'm saying distribution instead of package because I think it will reduce misunderstandings. A distribution/package can have multiple packages/modules inside it.

An installed distribution is not always importable by the same name. For example pip install Pillow is imported with import PIL. Sometimes a distribution even makes multiple modules importable.

Methods (Each column in order)

iter_modules

import pkgutil
{module.name for module in pkgutil.iter_modules()}

help("modules") (Only prints in terminal)

help("modules")

builtin_module_names

import sys
set(sys.builtin_module_names)

pip list (Only prints in terminal)

pip list in terminal

working_set

import pkg_resources
{pkg.key for pkg in pkg_resources.working_set}

Conclusion

• For terminal I recommend help("modules") or python -c "help('modules')".
  • Top voted answer in this thread
• For programmatically I recommend iter_modules + builtin_module_names.
  • This answer in this thread
    • It is however very convoluted with information, see my minimal example below.

import sys
import pkgutil

def get_installed_modules_names():
    iter_modules = {module.name for module in pkgutil.iter_modules()}
    builtin = sys.builtin_module_names
    return set.union(iter_modules, builtin)

Answer 19

Warning: Adam Matan discourages this use in pip > 10.0. Also, read @sinoroc's comment below

This was inspired by Adam Matan's answer (the accepted one):

import tabulate
try:
  from pip import get_installed_distributions
except:
  from pip._internal.utils.misc import get_installed_distributions

tabpackages = []
for _, package in sorted([('%s %s' % (i.location, i.key), i) for i in get_installed_distributions()]):
  tabpackages.append([package.location, package.key, package.version])

print(tabulate.tabulate(tabpackages))

which then prints out a table in the form of

cd ~/python
python installed_packages.py

Output:

-------------------------------------------  --------------  ------
/home/pi/.local/lib/python2.7/site-packages  enum-compat     0.0.2
/home/pi/.local/lib/python2.7/site-packages  enum34          1.1.6
/home/pi/.local/lib/python2.7/site-packages  pexpect         4.2.1
/home/pi/.local/lib/python2.7/site-packages  ptyprocess      0.5.2
/home/pi/.local/lib/python2.7/site-packages  pygatt          3.2.0
/home/pi/.local/lib/python2.7/site-packages  pyserial        3.4
/usr/local/lib/python2.7/dist-packages       bluepy          1.1.1
/usr/local/lib/python2.7/dist-packages       click           6.7
/usr/local/lib/python2.7/dist-packages       click-datetime  0.2
/usr/local/lib/python2.7/dist-packages       construct       2.8.21
/usr/local/lib/python2.7/dist-packages       pyaudio         0.2.11
/usr/local/lib/python2.7/dist-packages       tabulate        0.8.2
-------------------------------------------  --------------  ------

which lets you then easily discern which packages you installed with and without sudo.

---

A note aside: I've noticed that when I install a packet once via sudo and once without, one takes precedence so that the other one isn't being listed (only one location is shown). I believe that only the one in the local directory is then listed. This could be improved.

Answer 20

In case you have an Anaconda Python distribution installed, you could also use

conda list

in addition to the solutions described in previous answers.

Answer 21

Aside from using pip freeze I have been installing yolk in my virtual environments.

Answer 22

1. to get all available modules, run sys.modules
2. to get all installed modules (read: installed by pip), you may look at pip.get_installed_distributions()

For the second purpose, example code:

import pip
for package in pip.get_installed_distributions():
    name = package.project_name # SQLAlchemy, Django, Flask-OAuthlib
    key = package.key # sqlalchemy, django, flask-oauthlib
    module_name = package._get_metadata("top_level.txt") # sqlalchemy, django, flask_oauthlib
    location = package.location # virtualenv lib directory etc.
    version = package.version # version number

Answer 23

pip freeze does it all, finding packages. However, one can simply write the following command to list all paths where Python packages are.

>>> import site; site.getsitepackages()
['/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages']

Answer 24

There are many way to skin a cat.

• The most simple way is to use the pydoc function directly from the shell with:
  pydoc modules

• But for more information use the tool called pip-date that also tell you the installation dates.
  pip install pip-date

---

Answer 25

I needed to find the specific version of packages available by default in AWS Lambda. I did so with a mashup of ideas from this page. I'm sharing it for posterity.

import pkgutil

__version__ = '0.1.1'

def get_ver(name):
    try:
        return str(__import__(name).__version__)
    except:
        return None

def lambda_handler(event, context):
    return {
        'statusCode': 200,
        'body': [{
                   'path': m.module_finder.path,
                   'name': m.name,
                   'version': get_ver(m.name),
                 } for m in list(pkgutil.iter_modules())
                 #if m.module_finder.path == "/var/runtime" # Uncomment this if you only care about a certain path
                ],
    }

What I discovered is that the provided boto3 library was way out of date and it wasn't my fault that my code was failing. I just needed to add boto3 and botocore to my project. But without this I would have been banging my head thinking my code was bad.

{
  "statusCode": 200,
  "body": [
    {
      "path": "/var/task",
      "name": "lambda_function",
      "version": "0.1.1"
    },
    {
      "path": "/var/runtime",
      "name": "bootstrap",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "boto3",
      "version": "1.9.42"
    },
    {
      "path": "/var/runtime",
      "name": "botocore",
      "version": "1.12.42"
    },
    {
      "path": "/var/runtime",
      "name": "dateutil",
      "version": "2.7.5"
    },
    {
      "path": "/var/runtime",
      "name": "docutils",
      "version": "0.14"
    },
    {
      "path": "/var/runtime",
      "name": "jmespath",
      "version": "0.9.3"
    },
    {
      "path": "/var/runtime",
      "name": "lambda_runtime_client",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "lambda_runtime_exception",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "lambda_runtime_marshaller",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "s3transfer",
      "version": "0.1.13"
    },
    {
      "path": "/var/runtime",
      "name": "six",
      "version": "1.11.0"
    },
    {
      "path": "/var/runtime",
      "name": "test_bootstrap",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "test_lambda_runtime_client",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "test_lambda_runtime_marshaller",
      "version": null
    },
    {
      "path": "/var/runtime",
      "name": "urllib3",
      "version": "1.24.1"
    },
    {
      "path": "/var/lang/lib/python3.7",
      "name": "__future__",
      "version": null
    },
...

What I discovered was also different from what they officially publish. At the time of writing this:

• Operating system – Amazon Linux
• AMI – amzn-ami-hvm-2017.03.1.20170812-x86_64-gp2
• Linux kernel – 4.14.77-70.59.amzn1.x86_64
• AWS SDK for JavaScript – 2.290.0\
• SDK for Python (Boto 3) – 3-1.7.74 botocore-1.10.74

Answer 26

There are many ideas, initially I am pondering on these two:

pip

cons: not always installed

help('modules')

cons: output to console; with broken modules (see ubuntu...) can segfault

I need an easy approach, using basic libraries and compatible with old python 2.x

And I see the light: listmodules.py

Hidden in the documentation source directory in 2.5 is a small script that lists all available modules for a Python installation.

Pros:

uses only imp, sys, os, re, time

designed to run on Python 1.5.2 and newer

the source code is really compact, so you can easy tinkering with it, for example to pass an exception list of buggy modules (don't try to import them)

Answer 27

pip install pip-chill 
pip-chill

Answer 28

Here is a Python code solution that will return a list of modules installed. One can easily modify the code to include version numbers.

import subprocess
import sys
from pprint import pprint

installed_packages = reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).decode('utf-8')
installed_packages = installed_packages.split('\r\n')
installed_packages = [pkg.split('==')[0] for pkg in installed_packages if pkg != '']
pprint(installed_packages)

Answer 29

Installation

pip install pkgutil

Code

import pkgutil

for i in pkgutil.iter_modules(None): # returns a tuple (path, package_name, ispkg_flag)
    print(i[1]) #or you can append it to a list

Sample Output:

multiprocessing
netrc
nntplib
ntpath
nturl2path
numbers
opcode
pickle
pickletools
pipes
pkgutil

Answer 30

• https://setuptools.pypa.io/en/latest/pkg_resources.html

Attention

Use of pkg_resources is deprecated in favor of importlib.resources, importlib.metadata and their backports (importlib_resources, importlib_metadata). Some useful APIs are also provided by packaging (e.g. requirements and version parsing). Users should refrain from new usage of pkg_resources and should work to port to importlib-based solutions.

using python 3.12+ importlib

import importlib.metadata

def list_installed_packages():
    distributions = importlib.metadata.distributions()
    installed_packages = []
    for dist in distributions:
        args = (dist.metadata['Name'], dist.version)
        installed_packages.append(args)
    installed_packages.sort()  # Sort the packages by name
    for package_name, version in installed_packages:
        print(f"{package_name}=={version}")

if __name__ == "__main__":
    list_installed_packages()

• https://gist.github.com/allen-munsch/c785489dd57ebf9e4f6af45095ac8daa
• https://docs.python.org/3/library/importlib.metadata.html#overview
• https://docs.python.org/3/library/importlib.metadata.html#distribution-versions