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Head-to-head · Python Package Managers

Poetry vs pip

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Poetry #2 in Python Package Managers 9.1/10 Free plan Free plan✓ 1 of 5 features Visit Poetry
pip #5 in Python Package Managers 8.6/10 Free plan Free plan✓ 1 of 5 features Visit pip

Poetry leads on 0 checks, pip on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePoetry · 9.1/10
  • Free planboth

Poetry scores higher on our rubric for python package managers: 9.1 against 8.6 out of 10; our editors rank them #2 and #5.

Poetry is the better fit for python projects needing polished dependency workflows. pip is the better fit for standard PyPI installation and dependency workflows.

  • Poetry fits best

    Python projects needing polished dependency workflows

  • pip fits best

    Standard PyPI installation and dependency workflows

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Side by side

Feature Poetry 9.1/10 Visit ↗ pip 8.6/10 Visit ↗
At a glance
Editor score 9.1 8.6
Ranking #2 in Python Package Managers #5 in Python Package Managers
Best for Python projects needing polished dependency workflows Standard PyPI installation and dependency workflows
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Windows, macOS, Linux Windows, macOS, Linux
Support Community, Docs Community, Docs
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Poetry 1/5 · pip 1/5
Lockfile support ✓ ✓
Environment management Not checked yet Not checked yet
Package publishing Not checked yet Not checked yet
Private registry Not checked yet Not checked yet
Dependency groups Not checked yet Not checked yet
Specs
Supported platforms Not checked yet Not checked yet
Our review
Pros
  • Reproducible installs through poetry.lock lockfile generation
  • Manages isolated virtual environments and dependency groups
  • Builds and publishes sdist and wheel packages
  • Installs packages from PyPI, private indexes, VCS URLs, and local projects
  • Resolves dependencies and supports requirements and constraints files
  • Supports caching, private-index authentication, and offline wheelhouses
Cons
  • No commercial pricing tiers or paid product options
  • Package output centers on source distributions and wheels
  • Platform support is limited to Linux, macOS, and Windows
  • The pylock.toml lock command is experimental
  • Supported runtimes are CPython 3.10–3.15 and latest PyPy3
  • Its workflow is centered on command-line package installation
Our verdict

Poetry is an open-source tool for managing dependencies and packaging Python projects. It suits developers who want one workflow for declaring requirements in pyproject.toml, resolving dependencies, creating reproducible lockfiles,…

Read the review →

pip is an open-source command-line package installer for Python projects that need to obtain, resolve, and install dependencies. It fits teams working with PyPI, private package indexes, version-control systems, local project directories,…

Read the review →
  1. PoetryPython Package Managers 9.1Free plan
  2. pipPython Package Managers 8.6Free plan

Strengths and trade-offs

  • Poetry — where it wins

    • Reproducible installs through poetry.lock lockfile generation
    • Manages isolated virtual environments and dependency groups
    • Builds and publishes sdist and wheel packages

    Where it doesn't

    • No commercial pricing tiers or paid product options
    • Package output centers on source distributions and wheels
    • Platform support is limited to Linux, macOS, and Windows

  • pip — where it wins

    • Installs packages from PyPI, private indexes, VCS URLs, and local projects
    • Resolves dependencies and supports requirements and constraints files
    • Supports caching, private-index authentication, and offline wheelhouses

    Where it doesn't

    • The pylock.toml lock command is experimental
    • Supported runtimes are CPython 3.10–3.15 and latest PyPy3
    • Its workflow is centered on command-line package installation
  • Poetry9.1/10 · Free plan

    A focused open-source workflow for resolving, isolating, building, and publishing Python projects.

    Visit PoetryFull verdict →
  • pip8.6/10 · Free plan

    A capable open-source choice for standard PyPI installs and dependency workflows.

    Visit pipFull verdict →

More comparisons

All python package managers comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update