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PDM - Python Dependency Manager VS Anaconda

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » 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.

Anaconda logo Anaconda

Anaconda is the leading open data science platform powered by Python.
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  • Anaconda Landing page
    Landing page //
    2023-09-22

PDM - Python Dependency Manager features and specs

No features have been listed yet.

Anaconda features and specs

  • Comprehensive Distribution
    Anaconda provides a comprehensive distribution of Python and its associated packages, making it a one-stop solution for data science and machine learning projects.
  • Package Management
    Anaconda includes conda, a powerful package manager that allows easy installation, updating, and removal of packages and dependencies, which simplifies the environment management.
  • Environment Management
    Conda also supports environment management, enabling users to create isolated environments for different projects to avoid dependency conflicts.
  • Jupyter Notebooks Integration
    It provides built-in support for Jupyter Notebooks, which are widely used for data analysis, visualization, and prototyping in the data science community.
  • Cross-Platform Support
    Anaconda is available for Windows, macOS, and Linux, ensuring that users across different operating systems can leverage its capabilities.
  • Large Community and Support
    With a large and active community, Anaconda offers extensive online resources, tutorials, and a responsive support system.

Possible disadvantages of Anaconda

  • Large Installation Size
    Anaconda's comprehensive nature means it has a large installation size, which can be cumbersome for users with limited disk space.
  • Performance Overhead
    The extensive range of features and packages can lead to performance overhead compared to a more minimalistic Python setup.
  • Steeper Learning Curve
    Due to its vast array of tools and features, beginners might face a steeper learning curve compared to more minimalist distributions.
  • Potential Package Conflicts
    Although conda manages dependencies well, users can still encounter package conflicts, especially when working with packages outside the Anaconda repository.
  • Slower Package Availability
    Updates and new packages may be available later on conda compared to other Python package managers like pip, potentially delaying access to the latest features.

PDM - Python Dependency Manager videos

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Anaconda videos

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More videos:

  • Review - ANACONDA BAD MOVIE REVIEW | Double Toasted
  • Review - Anaconda - Good Bad or Bad Bad #23

Category Popularity

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

PDM - Python Dependency Manager

Anaconda

Package Manager
100 100%
Package Manager
0% 0
Python IDE
0 0%
Python IDE
100% 100
Front End Package Manager
100 100%
Front End Package Manager
0% 0
Text Editors
0 0%
Text Editors
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PDM - Python Dependency Manager and Anaconda

PDM - Python Dependency Manager Reviews

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Anaconda Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Anaconda offers its data science and machine learning capabilities via a number of different product editions. Its flagship product is Anaconda Enterprise, an open-source Python and R-focused platform. The tool enables you to perform data science and machine learning on Linux, Windows, and Mac OS. Anaconda allows users to download more than 1,500 Python and R...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, PDM - Python Dependency Manager seems to be more popular. It has been mentiond 1 time since March 2021. 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 / 17 days ago

Anaconda mentions (0)

We have not tracked any mentions of Anaconda yet. Tracking of Anaconda recommendations started around Mar 2021.

What are some alternatives?

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

pip - The PyPA recommended tool for installing Python packages.

quantra - A public API for quantitative finance made with Quantlib

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

Quantopian - Your algorithmic investing platform

Python Poetry - Python packaging and dependency manager.

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

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