Amazing-Python-Scripts VS awesome-python

Compare Amazing-Python-Scripts vs awesome-python and see what are their differences.

Amazing-Python-Scripts

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. (by avinashkranjan)

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources. (by vinta)
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Amazing-Python-Scripts awesome-python
2 86
2,024 205,996
- -
9.7 7.0
5 days ago 7 days ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Amazing-Python-Scripts

Posts with mentions or reviews of Amazing-Python-Scripts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

awesome-python

Posts with mentions or reviews of awesome-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing Amazing-Python-Scripts and awesome-python you can also consider the following projects:

Data-science - Collection of useful data science topics along with articles, videos, and code

Qtile-Config - This is my configuration of Qtile, a window manager written in python.

Computer-Vision - All my works in Computer Vision

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Pyadomd - A pythonic approach to query SSAS data models.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

Box - Python dictionaries with advanced dot notation access