Poetry

Poetry

Poetry is a Python dependency management and packaging tool. It aims to simplify managing dependencies for Python projects by finding the right versions of packages and their dependencies to ensure compatibility. Poetry also helps create isolated Python environments and build dis
Poetry screenshot

Poetry: Python Dependency Management and Packaging Tools

Aims to simplify managing dependencies for Python projects, finding right versions of packages and their dependencies for compatibility, creating isolated Python environments and build distribution packages.

What is Poetry?

Poetry is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.

Some key features of Poetry:

  • Simplifies dependency management by finding compatible package versions. Avoid dependency version conflicts.
  • Creates isolated Python environments for each project, avoiding version conflicts between projects.
  • Builds distributions packages (wheel/egg) to publish your libraries easily.
  • Declarative configuration through pyproject.toml. No need to maintain separate config files.
  • Integration with Python packaging standards like PEP517 and PEP518.
  • Good integration with other Python tools like virtualenvs, Pip, build backends, etc.

In summary, Poetry brings dependency management and packaging capabilities to Python projects, standardizing and simplifying several processes. It aims to be a comprehensive solution for Python project needs in these areas.

Poetry Features

Features

  1. Dependency management
  2. Virtual environment management
  3. Packaging and distribution
  4. PyPI publishing
  5. Locking dependencies versions
  6. Managing multiple Python versions

Pricing

  • Open Source

Pros

Simple and intuitive dependency management

Creates isolated environments

Builds packages with one command

Integrates with PyPI for publishing

Locks in dependency versions for reproducibility

Good cross-platform support

Cons

Limited Windows support initially

Steeper learning curve than pip/virtualenv

Fragmentation - competes with pip, virtualenv, etc

Not as widely adopted as alternatives yet

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