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A friendly wrapper around pip for installation of packages directly within Jupyter notebooks.


You can install individual packages like so.

import ipydeps
import numpy as np

You can also install multiple packages by passing a list.

import ipydeps
ipydeps.pip(['pymc', 'beautifulsoup4'])
from pymc import DiscreteUniform
from bs4 import BeautifulSoup

If you want more verbose output from pip, just set the verbose parameter to True.

import ipydeps
ipydeps.pip('sklearn', verbose=True)
from sklearn.cluster import KMeans

Configuration Files


pip options for your particular environment can be placed in ~/.config/ipydeps/ipydeps.conf. For example, the following ipydeps.conf could be used to specify that you want ipydeps to trust a host, timeout after 30 seconds, and install all packages into user space:

Some pip options have to be specified per-package. ipydeps will take care of specifying the option for each package for you. However, make sure you're working in a fully trusted environment before using these options. Putting these two lines in your ipydeps.conf will basically turn off any of pip's built-in verification.


If you were installing packages called "foo" and "bar" that you didn't want verified, then normally you'd have to pass --allow-external=foo --allow-external=bar --allow-unverified=foo --allow-unverified=bar, but ipydeps will just fill these in for each package automatically if you simply put --allow-external and --allow-unverified in your ipydeps.conf.

Sometimes there's a better way to install certain packages, such as a pre-built rpm or apk. ~/.config/ipydeps/ contains a URL for a file that overrides ipydeps.pip() calls for certain packages.

For example, maybe you want to install numpy, so you call ipydeps.pip('numpy'). However, numpy can take a while to install from scratch. If there's a pre-built version of numpy available, it can install in seconds instead of minutes. points to a dependencies.json file which maps the original package names to their overrides.

Only place a trusted link in your file, since dependencies.json could contain malicious commands that get executed as you.

Also note that all package names are handled in a case-insensitive manner (just like pip), so ipydeps will output a warning if it finds duplicate packages listed in your dependencies.json file.

Windows support

ipydeps now supports Windows as well as Linux. It will look for your home directory using os.path.expanduser('~'). In most cases, this just points to C:\Users\yourname. You should put your .config/ipydeps/ipydeps.conf file in that directory.

pypki2 support

In some environments, having a PKI-enabled pip server is advantageous. To that end, pypki2 integration is supported. Simply add the following to ipydeps.conf: