Software Alternatives & Startups

GitHub Repository Size VS Awesome Python

Compare GitHub Repository Size VS Awesome Python and see what are their differences

GitHub Repository Size

Browser extension to show file and repo size in GitHub

Rating
0 reviews
Awesome Python

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

Rating
0 reviews

Which is more popular?

Awesome Python might be a bit more popular than GitHub Repository Size. We know about 1 link to it since March 2021 and only 1 link to GitHub Repository Size.

social mentions
1 vs 1
Developer Tools popularity
47% vs 53%
alternatives listed
16 vs 20

Base details

Website, pricing, platforms and company facts side by side.

GitHub Repository Size
Awesome Python
Website github.com python.libhunt.com
Listed in

Features and specs

What each product offers, as listed by its team.

GitHub Repository Size 3 features
Awesome Python 5 features
  • Ease of Use
    The GitHub Repository Size extension provides a simple and intuitive way to view the size of a repository right from the GitHub interface, making it easy for users to gauge the space usage without additional tools.
  • Integration
    Seamlessly integrates with GitHub's user interface, adding size information directly to the repository's page, which helps in quick access to information without navigating away from the platform.
  • Open Source
    Being open source, users can inspect, customize, and improve the code according to their needs, fostering a collaborative improvement of the tool.

Possible disadvantages

  • Browser Dependency
    The tool requires installation as a browser extension, which may not be available or function equally well across all browsers and platforms.
  • Limited Functionality
    Primarily provides only the size of repositories, lacking more advanced features like analyzing space by file type or contributions, which might be necessary for comprehensive project management.
  • Maintenance and Support
    Being a third-party tool, it may not receive regular updates or support, potentially leading to compatibility issues with updates in GitHub's interface.
  • 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

  • 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.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GitHub Repository Size
Awesome Python
47% 47%
53% 53%
0% 0%
100% 100%
41% 41%
59% 59%
100% 100%
0% 0%

User comments

Share your experience with using GitHub Repository Size and Awesome Python. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GitHub Repository Size 1 mention
Awesome Python 1 mention
  • Is the Github folder on your disk supposed to take up a lot of space?
    There's also a chrome extension. Haven't used it though, so can't verify it. Source: over 4 years ago

Alternatives to GitHub Repository Size and Awesome Python

When comparing GitHub Repository Size and Awesome Python, you can also consider the following products.