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Awesome Python VS Open Source @ Microsoft

Compare Awesome Python VS Open Source @ Microsoft 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.

Open Source @ Microsoft logo Open Source @ Microsoft

Microsoft's Open Source projects on Github
  • Awesome Python Landing page
    Landing page //
    2023-01-12
  • Open Source @ Microsoft Landing page
    Landing page //
    2021-10-02

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    Despite community efforts, some entries might lag in updates, potentially listing outdated or deprecated libraries.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.

Open Source @ Microsoft features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Awesome Python and Open Source @ Microsoft)

Awesome Python

Open Source @ Microsoft

Productivity
100 100%
Productivity
0% 0
Open Source
67 67%
Open Source
33% 33
Developer Tools
100 100%
Developer Tools
0% 0
Web App
0 0%
Web App
100% 100

User comments

Share your experience with using Awesome Python and Open Source @ Microsoft. 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)

Open Source @ Microsoft mentions (0)

We have not tracked any mentions of Open Source @ Microsoft yet. Tracking of Open Source @ Microsoft recommendations started around Mar 2021.

What are some alternatives?

When comparing Awesome Python and Open Source @ Microsoft, you can also consider the following products

StatusBay - Open source that provides visibility into K8s deployments

Code NASA - 253 NASA open source software projects

OpenKube - Explore millions of opensource projects online

Open Source @IFTTT - A collection of IFTTT OSS projects.

PyPOTS - a Python lib for data mining on PartiallyObserved TimeSeries

Google Open Source - All of Googles open source projects under a single umbrella

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