OPEN ARCHIVE · 2023

Why Poetry is better than Pip

· By · 5 min read

If you’re a Python developer, you’ve probably used Pip at some point to manage your project dependencies. However, Pip has some limitations that make it less than ideal for larger projects or more complex environments. That’s where Poetry comes in - a modern package manager for Python that offers several benefits over Pip.

Benefits of Poetry

Here are some of the main advantages of using Poetry over Pip:

  • Dependency resolution: Poetry has a more sophisticated dependency resolver that can handle complex dependency trees and resolve conflicts more effectively than Pip.

  • Virtual environments: Poetry automatically creates a virtual environment for each project, so you don’t have to manage them manually.

  • Lockfiles: Poetry generates a lockfile that records the exact versions of each dependency used in your project, which ensures that your dependencies are consistent and reproducible.

  • Package publishing: Poetry provides a simple and streamlined process for publishing your Python packages to the PyPI repository.

  • Better CLI: Poetry has a more user-friendly CLI with more helpful error messages and a simpler interface than Pip.

Quick tutorial

Here’s a quick tutorial to get you started with Poetry:

  1. Install Poetry: You can install Poetry using Pip by running pip install poetry.

  2. Create a new project: To create a new project with Poetry, run poetry new myproject. This will create a new directory called myproject with a basic project structure.

  3. Add dependencies: To add a new dependency to your project, run poetry add <dependency>. For example, poetry add requests will add the requests library to your project.

  4. Install dependencies: To install all the dependencies for your project, run poetry install. This will create a virtual environment for your project and install all the necessary packages.

  5. Run your project: To run your project, activate the virtual environment by running poetry shell, and then run your project as you normally would.

  6. Publish your package: If you want to publish your Python package to PyPI, run poetry publish. This will guide you through the process of publishing your package.

That’s it! With Poetry, you can enjoy a more modern and streamlined package management experience that can help you build better Python projects faster and more efficiently.

Why Poetry is better than Pip

If you’re a Python developer, you’ve probably used Pip at some point to manage your project dependencies. However, Pip has some limitations that make it less than ideal for larger projects or more complex environments. That’s where Poetry comes in - a modern package manager for Python that offers several benefits over Pip.

Benefits of Poetry

Here are some of the main advantages of using Poetry over Pip:

  • Dependency resolution: Poetry has a more sophisticated dependency resolver that can handle complex dependency trees and resolve conflicts more effectively than Pip.

  • Virtual environments: Poetry automatically creates a virtual environment for each project, so you don’t have to manage them manually.

  • Lockfiles: Poetry generates a lockfile that records the exact versions of each dependency used in your project, which ensures that your dependencies are consistent and reproducible.

  • Package publishing: Poetry provides a simple and streamlined process for publishing your Python packages to the PyPI repository.

  • Better CLI: Poetry has a more user-friendly CLI with more helpful error messages and a simpler interface than Pip.

Quick tutorial

Here’s a quick tutorial to get you started with Poetry:

  1. Install Poetry: You can install Poetry using Pip by running pip install poetry.

  2. Create a new project: To create a new project with Poetry, run poetry new myproject. This will create a new directory called myproject with a basic project structure.

  3. Add dependencies: To add a new dependency to your project, run poetry add <dependency>. For example, poetry add requests will add the requests library to your project.

  4. Install dependencies: To install all the dependencies for your project, run poetry install. This will create a virtual environment for your project and install all the necessary packages.

  5. Run your project: To run your project, activate the virtual environment by running poetry shell, and then run your project as you normally would.

  6. Publish your package: If you want to publish your Python package to PyPI, run poetry publish. This will guide you through the process of publishing your package.

That’s it! With Poetry, you can enjoy a more modern and streamlined package management experience that can help you build better Python projects faster and more efficiently.