How to lock requirements using pip-tools
Simple instructions for locking requirements in a python project using pip-tools
Locking Dependencies with pip-compile
Opinions vary on how one should make use of lock files, depending on whether the project is the main application, or the project is actually a library that is meant to be consumed by an application or another library.
Lock files are unquestionably useful if you build any application.
Python has no concept of lock files, equally it can be argued python has no package dependency files at all and that's why we have many options outside the core python team like
Pipfile, and the most common
as a pattern for Pip. This blog will show you how to lock requirements with command
pip-compile (provided by pip-tools).
First, we need a clean virtual environment created with virtualenv.
Install the virtualenv package
The virtualenv package is required to create virtual environments. You can install it with pip:
pip install virtualenv
Create the virtual environment
To create a virtual environment, you must specify a path.
For example to create one in the local directory called ‘python3env’, type the following:
Then You need to activate the python environment by running the following command:
Mac OS / Linux
Any python commands you use will now work with your virtual environment.
Install pip-tools and lock requirements
Now you need to activate the virtual environment to install pip-tools
pip install pip-tools
Once the package has been installed, you need to create a
This file is where you define your project's top-level dependencies (similar to pipenv's Pipfile or pyproject.toml in poetry).
A basic example might look something like this:
1Django==2.2.* 2psycopg2 3celery>4.4
To "lock" these dependencies, you can run:
pip-compile --output-file=requirements.txt requirements.in
This generates the standard requirements.txt file with all dependencies. Here's the file:
1# 2# This file is autogenerated by pip-compile 3# To update, run: 4# 5# pip-compile requirements.in 6# 7--trusted-host pypi.python.org 8--trusted-host pypi.org 9--trusted-host files.pythonhosted.org 10 11amqp==5.0.6 12 # via kombu 13billiard==22.214.171.124 14 # via celery 15celery==5.1.2 16 # via -r requirements.in 17click-didyoumean==0.0.3 18 # via celery 19click-plugins==1.1.1 20 # via celery 21click-repl==0.2.0 22 # via celery 23click==7.1.2 24 # via 25 # celery 26 # click-didyoumean 27 # click-plugins 28 # click-repl 29django==2.2.24 30 # via -r requirements.in 31kombu==5.1.0 32 # via celery 33prompt-toolkit==3.0.19 34 # via click-repl 35psycopg2==2.9.1 36 # via -r requirements.in 37pytz==2021.1 38 # via 39 # celery 40 # django 41six==1.16.0 42 # via click-repl 43sqlparse==0.4.1 44 # via django 45vine==5.0.0 46 # via 47 # amqp 48 # celery 49 # kombu 50wcwidth==0.2.5 51 # via prompt-toolkit 52 53# The following packages are considered to be unsafe in a requirements file: 54# setuptools
We didn't have
pytz in our requirements.in, but it's included in requirements.txt because it is required by django (which the pip-compile is kind enough to output in the file).
MAKEFILE allows you to run
make requirements.txt and it will be updated if and only if the
requirements.in file has changed since requirements.txt was last generated.
1requirements.txt: requirements.in 2pip-compile --upgrade --output-file=$@ requirements.in
Installing the dependencies is as simple as:
pip install -r requirements.txt