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PDM - Python Dependency Manager VS pip

Compare PDM - Python Dependency Manager VS pip and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

PDM - Python Dependency Manager logo PDM - Python Dependency Manager

PDM, as described, is a modern Python package and dependency manager supporting the latest PEP standards.

pip logo pip

The PyPA recommended tool for installing Python packages.
Not present
  • pip Landing page
    Landing page //
    2023-08-23

PDM - Python Dependency Manager features and specs

No features have been listed yet.

pip features and specs

  • Ease of Use
    pip is straightforward to use with simple command-line instructions for installing and managing Python packages.
  • Wide Adoption
    pip is the standard package manager for Python, widely adopted and supported across platforms, ensuring reliability and community support.
  • Dependency Management
    pip automatically handles package dependencies, downloading and installing them alongside the desired package.
  • Integration with PyPI
    pip seamlessly integrates with the Python Package Index (PyPI), giving access to thousands of packages.
  • Virtual Environment Support
    pip works well with virtual environments, allowing users to manage packages in isolated Python environments.

Possible disadvantages of pip

  • Limited Advanced Features
    pip focuses on simplicity and may lack some advanced package management features found in more sophisticated tools.
  • Version Conflicts
    While pip handles dependencies, it can sometimes lead to version conflicts when two packages require different versions of the same dependency.
  • Lack of System Package Awareness
    pip does not interact with system package managers, which can lead to situations where packages are duplicated or out of sync.
  • Performance with Large Projects
    Managing dependencies in large-scale projects can become cumbersome with pip, as it wasn't initially designed for such complex environments.

Analysis of pip

Overall verdict

  • Yes, pip is considered good because it is the de facto standard for package management in Python, offering ease of use, a large repository of packages, and regular updates and enhancements.

Why this product is good

  • pip is the package installer for Python and is widely used for installing and managing Python packages. It connects to Python Package Index (PyPI) to download and install libraries and their dependencies, making it an essential tool for Python developers. Its widespread use and support from the Python community ensure it remains a reliable choice for managing Python packages.

Recommended for

  • Python developers who need to manage project dependencies easily.
  • Anyone looking to install and update Python packages from PyPI.
  • Python programmers working in virtual environments to isolate dependencies.

PDM - Python Dependency Manager videos

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  • Review - Filling out the PIP Review Form
  • Review - My Tips for Your Personal Independence Payment Review | Disability | PIP

Category Popularity

0-100% (relative to PDM - Python Dependency Manager and pip)

PDM - Python Dependency Manager

pip

Front End Package Manager
18 18%
Front End Package Manager
82% 82
Kids
16 16%
Kids
84% 84
Package Manager
27 27%
Package Manager
73% 73
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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Social recommendations and mentions

Based on our record, pip seems to be a lot more popular than PDM - Python Dependency Manager. While we know about 21 links to pip, we've tracked only 1 mention of PDM - Python Dependency Manager. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PDM - Python Dependency Manager mentions (1)

  • Publishing a LitePolis package to PyPI using Github Actions
    The pyproject.toml serves as a central place for your project's configuration. It tells the build frontend tool which backend is needed to build your package. Some available options include Hatchling, Setuptools, Flit, or PDM. Below is an example of a common build backend. - Source: dev.to / over 1 year ago

pip mentions (21)

  • Document Generation for Developers: Security, Compliance, and Build-vs-Buy Decisions for the Template-Plus-Data Pipeline
    You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 2 months ago
  • Top 5 Essential Build Tools for Modern Development
    For the Python ecosystem, pip is the de facto standard package installer. It allows Python developers to easily install and manage software packages published on the Python Package Index (PyPI). Whether you're working on web development with Django or Flask, data science with NumPy and Pandas, or machine learning with TensorFlow, pip is indispensable for bringing in external libraries. - Source: dev.to / about 1 year ago
  • PYMODINS
    Use the package manager pip to Install pymodins. - Source: dev.to / about 2 years ago
  • How to build a new Harlequin adapter with Poetry
    To get the most out of this guide, you should have a basic understanding of virtual environments, Python packages and modules, and pip. Our objectives are to:. - Source: dev.to / about 2 years ago
  • The ultimate guide to creating a secure Python package
    You need a build system to render the files you publish in the Python package. You can use a build frontend, such as pip, or a build backend, such as setuptools, Flit, Hatchling, or PDM. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing PDM - Python Dependency Manager and pip, you can also consider the following products

Python Poetry - Python packaging and dependency manager.

Anaconda - Anaconda is the leading open data science platform powered by Python.

Python Package Index - A repository of software for the Python programming language

Conda - Binary package manager with support for environments.

pipx - pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt.

Kano - The educational computer and coding kit for all ages

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