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Awesome Python VS Request for maintainers

Compare Awesome Python VS Request for maintainers and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Awesome Python logo Awesome Python

Your go-to Python Toolbox. A curated list of awesome Python frameworks, packages, software and resources. 1303 projects organized into 177 categories.

Request for maintainers logo Request for maintainers

Find any OSS project calling for collaborators
  • Awesome Python Landing page
    Landing page //
    2023-01-12
  • Request for maintainers Landing page
    Landing page //
    2021-08-03

Awesome Python features and specs

  • Comprehensive Resource
    Awesome Python offers a wide array of libraries and frameworks, making it a comprehensive resource for Python developers seeking tools across different categories.
  • Community Driven
    The repository is community-driven, with users contributing and curating the list, ensuring that it stays up-to-date with the latest and most popular tools.
  • Categorized Listings
    Resources are organized into categories, allowing users to quickly find tools relevant to their specific project needs.
  • Brief Descriptions
    Each library and framework comes with a brief description, helping users quickly understand the purpose and function of each tool.
  • Popularity Indicators
    Includes indicators such as stars and forks on GitHub, providing a sense of how widely used or trusted a particular library is within the community.

Possible disadvantages of Awesome Python

  • Quality Variation
    Since anyone can contribute, there is a variation in quality and maturity among the listed projects, which could lead to unreliable tools being included.
  • Overwhelming for Beginners
    The sheer volume of listed resources might be overwhelming for beginners who may struggle to identify which tools best fit their needs.
  • Lack of Deep Reviews
    Descriptions are generally brief, providing limited insight into the pros and cons of using each tool, which might require additional research from users.
  • Inconsistency in Updates
    Despite community efforts, some entries might lag in updates, potentially listing outdated or deprecated libraries.
  • No Direct Support
    As a curated list, it does not offer direct support or guidance on implementing the tools, leaving users to seek other sources for help.

Request for maintainers features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Awesome Python and Request for maintainers)

Awesome Python

Request for maintainers

Productivity
63 63%
Productivity
37% 37
Open Source
60 60%
Open Source
40% 40
Developer Tools
57 57%
Developer Tools
43% 43
GitHub
100 100%
GitHub
0% 0

User comments

Share your experience with using Awesome Python and Request for maintainers. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Awesome Python 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.

Awesome Python mentions (1)

Request for maintainers mentions (0)

We have not tracked any mentions of Request for maintainers yet. Tracking of Request for maintainers recommendations started around Mar 2021.

What are some alternatives?

When comparing Awesome Python and Request for maintainers, you can also consider the following products

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Swyya - Find trending open source projects to contribute to

PyPOTS - a Python lib for data mining on PartiallyObserved TimeSeries

My Good First Issue - mygoodfirstissue helps you find open source projects with a codebase you are comfortable with.

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