Poetry helps you declare, manage and install dependencies of Python projects, ensuring you have the right stack everywhere.
It supports Python 2.7 and 3.5+.
Note: Python 2.7 and 3.5 will no longer be supported in the next feature release (1.2). You should consider updating your Python version to a supported one.
The complete documentation is available on the official website.
Poetry provides a custom installer that will install poetry
isolated
from the rest of your system.
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py | python -
(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py -UseBasicParsing).Content | python -
Warning: The previous get-poetry.py
installer is now deprecated, if you are currently using it
you should migrate to the new, supported, install-poetry.py
installer.
The installer installs the poetry
tool to Poetry's bin
directory. This location depends on you system:
$HOME/.local/bin
for Unix%APPDATA%\Python\Scripts
on Windows
If this directory is not on you PATH
, you will need to add it manually
if you want to invoke Poetry with simply poetry
.
Alternatively, you can use the full path to poetry
to use it.
Once Poetry is installed you can execute the following:
poetry --version
If you see something like Poetry (version 1.2.0)
then you are ready to use Poetry.
If you decide Poetry isn't your thing, you can completely remove it from your system
by running the installer again with the --uninstall
option or by setting
the POETRY_UNINSTALL
environment variable before executing the installer.
python install-poetry.py --uninstall
POETRY_UNINSTALL=1 python install-poetry.py
By default, Poetry is installed into the user's platform-specific home directory.
If you wish to change this, you may define the POETRY_HOME
environment variable:
POETRY_HOME=/etc/poetry python install-poetry.py
If you want to install prerelease versions, you can do so by passing --preview
option to install-poetry.py
or by using the POETRY_PREVIEW
environment variable:
python install-poetry.py --preview
POETRY_PREVIEW=1 python install-poetry.py
Similarly, if you want to install a specific version, you can use --version
option or the POETRY_VERSION
environment variable:
python install-poetry.py --version 1.2.0
POETRY_VERSION=1.2.0 python install-poetry.py
You can also install Poetry for a git
repository by using the --git
option:
python install-poetry.py --git https://github.com/python-poetry/poetry.git@master
Note: Note that the installer does not support Python < 3.6.
Updating poetry to the latest stable version is as simple as calling the self update
command.
poetry self update
If you want to install prerelease versions, you can use the --preview
option.
poetry self update --preview
And finally, if you want to install a specific version you can pass it as an argument
to self update
.
poetry self update 1.2.0
poetry
supports generating completion scripts for Bash, Fish, and Zsh.
See poetry help completions
for full details, but the gist is as simple as using one of the following:
# Bash
poetry completions bash > /etc/bash_completion.d/poetry.bash-completion
# Bash (Homebrew)
poetry completions bash > $(brew --prefix)/etc/bash_completion.d/poetry.bash-completion
# Fish
poetry completions fish > ~/.config/fish/completions/poetry.fish
# Fish (Homebrew)
poetry completions fish > (brew --prefix)/share/fish/vendor_completions.d/poetry.fish
# Zsh
poetry completions zsh > ~/.zfunc/_poetry
# Zsh (Homebrew)
poetry completions zsh > $(brew --prefix)/share/zsh/site-functions/_poetry
# Zsh (Oh-My-Zsh)
mkdir $ZSH_CUSTOM/plugins/poetry
poetry completions zsh > $ZSH_CUSTOM/plugins/poetry/_poetry
# Zsh (prezto)
poetry completions zsh > ~/.zprezto/modules/completion/external/src/_poetry
Note: you may need to restart your shell in order for the changes to take effect.
For zsh
, you must then add the following line in your ~/.zshrc
before
compinit
(not for homebrew setup):
fpath+=~/.zfunc
poetry
is a tool to handle dependency installation as well as building and packaging of Python packages.
It only needs one file to do all of that: the new, standardized pyproject.toml
.
In other words, poetry uses pyproject.toml
to replace setup.py
, requirements.txt
, setup.cfg
, MANIFEST.in
and the newly added Pipfile
.
[tool.poetry]
name = "my-package"
version = "0.1.0"
description = "The description of the package"
license = "MIT"
authors = [
"Sébastien Eustace <sebastien@eustace.io>"
]
readme = 'README.md' # Markdown files are supported
repository = "https://github.com/python-poetry/poetry"
homepage = "https://github.com/python-poetry/poetry"
keywords = ['packaging', 'poetry']
[tool.poetry.dependencies]
python = "~2.7 || ^3.2" # Compatible python versions must be declared here
toml = "^0.9"
# Dependencies with extras
requests = { version = "^2.13", extras = [ "security" ] }
# Python specific dependencies with prereleases allowed
pathlib2 = { version = "^2.2", python = "~2.7", allow-prereleases = true }
# Git dependencies
cleo = { git = "https://github.com/sdispater/cleo.git", branch = "master" }
# Optional dependencies (extras)
pendulum = { version = "^1.4", optional = true }
[tool.poetry.dev-dependencies]
pytest = "^3.0"
pytest-cov = "^2.4"
[tool.poetry.scripts]
my-script = 'my_package:main'
There are some things we can notice here:
- It will try to enforce semantic versioning as the best practice in version naming.
- You can specify the readme, included and excluded files: no more
MANIFEST.in
.poetry
will also use VCS ignore files (like.gitignore
) to populate theexclude
section. - Keywords (up to 5) can be specified and will act as tags on the packaging site.
- The dependencies sections support caret, tilde, wildcard, inequality and multiple requirements.
- You must specify the python versions for which your package is compatible.
poetry
will also detect if you are inside a virtualenv and install the packages accordingly.
So, poetry
can be installed globally and used everywhere.
poetry
also comes with a full fledged dependency resolution library.
Packaging systems and dependency management in Python are rather convoluted and hard to understand for newcomers.
Even for seasoned developers it might be cumbersome at times to create all files needed in a Python project: setup.py
,
requirements.txt
, setup.cfg
, MANIFEST.in
and the newly added Pipfile
.
So I wanted a tool that would limit everything to a single configuration file to do: dependency management, packaging and publishing.
It takes inspiration in tools that exist in other languages, like composer
(PHP) or cargo
(Rust).
And, finally, I started poetry
to bring another exhaustive dependency resolver to the Python community apart from
Conda's.
In short: I do not like the CLI it provides, or some of the decisions made, and I think we can make a better and more intuitive one. Here are a few things that I don't like.
The dependency resolution is erratic and will fail even if there is a solution. Let's take an example:
pipenv install oslo.utils==1.4.0
will fail with this error:
Could not find a version that matches pbr!=0.7,!=2.1.0,<1.0,>=0.6,>=2.0.0
while Poetry will get you the right set of packages:
poetry add oslo.utils=1.4.0
results in :
- Installing pytz (2018.3)
- Installing netifaces (0.10.6)
- Installing netaddr (0.7.19)
- Installing oslo.i18n (2.1.0)
- Installing iso8601 (0.1.12)
- Installing six (1.11.0)
- Installing babel (2.5.3)
- Installing pbr (0.11.1)
- Installing oslo.utils (1.4.0)
This is possible thanks to the efficient dependency resolver at the heart of Poetry.
Here is a breakdown of what exactly happens here:
oslo.utils (1.4.0)
depends on:
pbr (>=0.6,!=0.7,<1.0)
Babel (>=1.3)
six (>=1.9.0)
iso8601 (>=0.1.9)
oslo.i18n (>=1.3.0)
netaddr (>=0.7.12)
netifaces (>=0.10.4)
What interests us is pbr (>=0.6,!=0.7,<1.0)
.
At this point, poetry will choose pbr==0.11.1
which is the latest version that matches the constraint.
Next it will try to select oslo.i18n==3.20.0
which is the latest version that matches oslo.i18n (>=1.3.0)
.
However this version requires pbr (!=2.1.0,>=2.0.0)
which is incompatible with pbr==0.11.1
,
so poetry
will try to find a version of oslo.i18n
that satisfies pbr (>=0.6,!=0.7,<1.0)
.
By analyzing the releases of oslo.i18n
, it will find oslo.i18n==2.1.0
which requires pbr (>=0.11,<2.0)
.
At this point the rest of the resolution is straightforward since there is no more conflict.