PDM - Python Dependency Manager VS pipenv

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• Integrated Workflow
  Pipenv combines the functionalities of pip and virtualenv, providing a seamless environment for package installation and management, making the development workflow more efficient and organized.
• Automatic Virtual Environment Management
  Automatically creates and manages a virtual environment for projects, ensuring that dependencies are maintained separately and do not interfere with the system Python or other projects.
• Lock File Generation
  Generates a Pipfile.lock to ensure deterministic builds, making sure that installations are consistent across different environments or deployments.
• User-Friendly Package Installation
  Simplifies package installation with a straightforward and intuitive interface. Pipenv handles both direct package specification and environment management in a unified manner.
• Environment Consistency
  By using the Pipfile and Pipfile.lock, Pipenv ensures that all developers working on a project have a consistent set of dependencies, reducing 'it works on my machine' issues.
• Dependency Resolution
  Pipenv uses an advanced dependency resolver, helping to avoid dependency conflicts that can occur with complex package requirements.

Possible disadvantages

• Performance Overhead
  The dependency resolution process can sometimes be slow, which might be noticeable in larger projects or when installing multiple packages at once.
• Limited Flexibility
  Pipenv abstracts away some of pip and virtualenv’s flexibility, which might limit advanced configurations or setups required by more complex projects.
• Complexity for Simple Projects
  May add unnecessary complexity for simple or small projects where virtualenv and pip would suffice without additional layers.
• Slower Updates
  Pipenv may lag behind updates compared to pip and virtualenv due to its additional integration layer, meaning it might not always provide immediate support for the latest Python packaging developments.
• Learning Curve
  Requires initial learning and adjustment for developers who are accustomed to using pip and virtualenv separately, potentially slowing down onboarding for new team members.

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Pipenv Crash Course

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