How can I see all installed Python modules in Jupyter Lab (like pip freeze) with Python 3.7 or newer?

I'm looking for a way to get a list of all installed/importable python modules from a within a Jupyterlab notebook.

From the command line, I can get the list by running

py -3 -m pip freeze


pip freeze

In the Jupyterlab console, running pip freeze returns

The following command must be run outside of the IPython shell:

    $ pip freeze

The Python package manager (pip) can only be used from outside of IPython.
Please reissue the `pip` command in a separate terminal or command prompt.

See the Python documentation for more information on how to install packages:

For older versions of pip, it was possible to import pip and get a list from within a notebook.

The command was


This now gives a warning and returns nothing.

c:\python37\lib\site-packages\IPython\kernel\ ShimWarning: The `IPython.kernel` package has been deprecated since IPython 4.0.You should import from ipykernel or jupyter_client instead.
  "You should import from ipykernel or jupyter_client instead.", ShimWarning)

10 year old stackoverflow solutions like How can I get a list of locally installed Python modules? also no longer work.

Is there a proper way of doing this (without using a subprocess hack or running pip as an external program like "!pip")

you can also try

!pip freeze

in your jupyter notebook. Hope it helps you.

Install conda, pip or apt packages — The Littlest JupyterHub v0.1 , Packages / libraries installed in this environment are available to all users on the Log in as an admin user and open a Terminal in your Jupyter Notebook. Conda lets you install new languages (such as new versions of python, node, R, etc) as All new TLJH installs use miniconda 4.7.10, which comes with a Python 3.7� There are a couple of ways you can do that. Following are the two ways that will work for you to get this list…. 1. Using help () function (without pip): The simplest way is to open a Python console and type the following command…. help ("modules") This will gives you a list of the installed module on the system.

You may run following snippet to the result.

!pip list

Installing scikit-learn — scikit-learn 0.23.2 documentation, Install the version of scikit-learn provided by your operating system or Python This is best for users who want the latest-and-greatest features and aren't afraid of scikit-learn is installedpython -m pip freeze # to see all packages installed in If you must install scikit-learn and its dependencies with pip, you can install it as� There are three ways to get the list of all the libraries or packages or modules installed in python using pip list command, pip freeze command and help function . All the three ways are explained below. 1. Get the list of all the packages in python Using Help function: To get the list of installed packages in python you can simply type the

Try this :



Environments, Conda, Pip, aaaaah! | by Dennis Bakhuis, However, using packages that are not as popular, breaking changing can happen, especially when upgrading the package or Python itself. A way� For this reason, it is safer to use python -m pip install, which explicitly specifies the desired Python version (explicit is better than implicit, after all). This is one reason that pip install no longer appears in Python's docs, and experienced Python educators like David Beazley never teach bare pip.

import pip._internal.operations.freeze
_ = pip._internal.operations.freeze.get_installed_distributions()
print(sorted(["%s==%s" % (i.key, i.version) for i in _])[:10])

This works in Win10 with Python 3.6 & 3.7 (ipython, pip.version: '20.0.1') at least. I took a look at the source code in Lib\site-packages\pip.

Configuring Python Workspace, Being a self-learner of Python, I started to use it as almost all all packages were installed globally, and I often used sudo pip install if there were Code for Python coding, but I use Jupyter Notebook (or Jupyter Lab) run in pyenv install 3.7.6 $ pyenv shell 3.7.6 3.8.1 $ virtualenv .venv --python=python3.7� Hi, I am in a situation where python, in a terminal, finds a module with “import”. In fact, with “print(help(‘modules’)” I see a list of all available modules, and the module in question is listed. However, when running a jupyter notebook, of the proper version of python, I always get “module not found”. One think that I would like to do is to find out exactly where the module

Installed package won't import in notebook � Issue #2359 � jupyter , This occurs with pip-installed packages as well as conda: The env was created and all packages were installed without error, but some Create a new Python3 notebook and import pymc3. I have Ubuntu, with a virtual env in python 3.7 - n test python -m ipykernel install --user --name=test jupyter lab. Hey Cory, thanks for the response. It more a less works. When I save a Jupyter notebook as a .py file, it's sent to my Download folder. I'm unable to directly save it in the required location of C:\Users\Michael\Anaconda5\Lib where I have all my Python modules saved, and can then import from this folder.

How do I upgrade the jupyterlab in anaconda to version 1.0 � Issue , ( base) :~$pip freeze | grep jupyt jupyter==1.0.0 jupyter-client==5.2.4 If I use conda install .. in cent os 6 for all of above packages, I get following response. Mac OS Mojave fresh Anaconda Python 3.7 64-bit install could not� This guide discusses how to install packages using pip and a virtual environment manager: either venv for Python 3 or virtualenv for Python 2. These are the lowest-level tools for managing Python packages and are recommended if higher-level tools do not suit your needs.

Python, Currently there are 2 versions of python supported on the linux virtualenv /cs/ labs/<supervisor>/<login>/my-first-venv --python python3 all globally installed packages (even those installed by the modules system). Now the new kernel (" My virtual Environment") has to be shown in the jupyter notebook� If you use pip, you can install it with: pip install jupyterlab If installing using pip install --user , you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab .

  • Thanks, using "!" works like running pip as any external program. This does work, still I'm wondering if there's a better way to interact with pip. I'm updating the question to make that clearer.