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Composer vs Poetry

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

Composer

Open source · MIT

Dependency manager for PHP projects: declare, install, and update the libraries your code uses.

Poetry

Open source · MIT

A tool for managing Python project dependencies and packaging them, using one pyproject.toml file.

The short answer

Choose Composer if you need…

  • PHP developers starting a new project who want standard third-party libraries
  • Teams that need a shared, repeatable way to install project dependencies
  • Developers maintaining existing PHP applications that already use Composer
  • Anyone who wants to pull in packages from Packagist.org

Choose Poetry if you need…

  • Python developers starting a new project who want one config file for dependencies and packaging
  • Teams that need the same dependency versions installed on every machine and in CI
  • Maintainers of Python libraries who want to build packages from pyproject.toml
  • Developers who want optional dependency groups such as dev, docs or lint

Side-by-side

ComposerPoetry
TypeDev toolDev tool
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars29.6k34.3k
Setup difficultyBeginnerIntermediate
How you get itSee the READMESee the README
Main languagePHPPython
Last code update4 days ago5 days ago

What each one is

Composer

Composer is a tool that helps PHP projects declare the outside libraries (called packages) they depend on and then installs and manages them. You list what your project needs, and Composer fetches those packages, mainly from Packagist.org, the public package index. The README describes it simply as helping you declare, manage, and install dependencies of PHP projects.

Poetry

Poetry helps Python developers declare the libraries their project needs, lock exact versions, and install them consistently on other machines. It replaces several older project files such as setup.py, requirements.txt and Pipfile with a single pyproject.toml file. It can also build and publish Python packages.

Best for

Composer

  • PHP developers starting a new project who want standard third-party libraries
  • Teams that need a shared, repeatable way to install project dependencies
  • Developers maintaining existing PHP applications that already use Composer
  • Anyone who wants to pull in packages from Packagist.org

Poetry

  • Python developers starting a new project who want one config file for dependencies and packaging
  • Teams that need the same dependency versions installed on every machine and in CI
  • Maintainers of Python libraries who want to build packages from pyproject.toml
  • Developers who want optional dependency groups such as dev, docs or lint

Strengths

Composer

  • Widely used in the PHP ecosystem, with a large public package index at Packagist.org
  • Open source under the MIT license
  • Actively maintained, with a recent release (2.10.3) and an LTS branch (2.2) for older PHP versions

Poetry

  • Uses the standard pyproject.toml format, replacing several older project files
  • Supports dependency groups and optional extras for organizing requirements
  • Released under the permissive MIT license and actively maintained, with a large user base

Not ideal for

Composer

  • People not writing PHP, since it manages only PHP packages
  • Teams needing private package hosting, which the README points to Private Packagist (a separate commercial product) for
  • Users on very old PHP versions without checking the LTS notes, because the latest release requires PHP 7.2.5 or above

Poetry

  • People who only need to run a single script and do not manage dependencies, since setup is more than they need
  • Projects that must stay on the older setup.py or requirements.txt workflow, because migrating takes effort
  • Non-Python projects, since the tool is specific to the Python ecosystem

Trade-offs

Composer

  • Relies on several system tools such as unzip and git being installed; the README lists many binary dependencies
  • Only manages PHP packages, so it does not cover other languages' dependencies
  • Detailed usage lives on the external documentation site rather than in the README

Poetry

  • The README is truncated here, so detailed command behavior and edge cases are not covered in this summary
  • Adds a separate tool to learn and install alongside Python itself
  • Some configuration uses Poetry-specific [tool.poetry] syntax alongside the standard [project] table, which can be confusing

Getting started

Composer

Download and install

Follow the official instructions at https://getcomposer.org/download/
Step-by-step guide: how to use Composer

Poetry

Install Poetry using the official script

curl -sSL https://install.python-poetry.org | python3 -
Step-by-step guide: how to use Poetry

Frequently asked questions

What is the difference between Composer and Poetry?

Composer: Dependency manager for PHP projects: declare, install, and update the libraries your code uses. Poetry: A tool for managing Python project dependencies and packaging them, using one pyproject.toml file. Composer suits php developers starting a new project who want standard third-party libraries, while Poetry suits python developers starting a new project who want one config file for dependencies and packaging.

Are Composer and Poetry free?

Composer: Free and open source. Poetry: Free and open source.

Which is easier to set up, Composer or Poetry?

Composer is easier to get started with (rated beginner); Poetry is rated intermediate and usually needs more setup.

Is Composer or Poetry more popular?

Poetry has more GitHub stars (34.3k) than Composer (29.6k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Composer and Poetry?

Other options people compare them with include Pipenv, vcpkg, pnpm, patch-package, TSDX.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.