best-of-ml-python VS awesome-python

Compare best-of-ml-python vs awesome-python and see what are their differences.

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best-of-ml-python awesome-python
16 85
15,284 204,062
1.2% -
7.9 7.1
7 days ago 6 days ago
Python Python
Creative Commons Attribution Share Alike 4.0 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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

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 2024-03-07.

What are some alternatives?

When comparing best-of-ml-python and awesome-python you can also consider the following projects:

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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

dtale - Visualizer for pandas data structures

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

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

Pyadomd - A pythonic approach to query SSAS data models.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

Box - Python dictionaries with advanced dot notation access