best-of-python-dev VS best-of-generator

Compare best-of-python-dev vs best-of-generator and see what are their differences.

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best-of-python-dev best-of-generator
2 3
907 62
3.0% -
7.8 1.9
6 days ago 13 days ago
Python Python
Creative Commons Attribution Share Alike 4.0 GNU General Public License v3.0 only
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-python-dev

Posts with mentions or reviews of best-of-python-dev. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-14.

best-of-generator

Posts with mentions or reviews of best-of-generator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-14.
  • best-of-python: A ranked list of awesome Python libraries and tools
    7 projects | /r/Python | 14 Jan 2021
    btw. If you like to keep track on how we might implement your suggestion, you can also open an issue here with your suggestions: https://github.com/best-of-lists/best-of-generator/issues/new/choose
  • [P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
    10 projects | /r/MachineLearning | 14 Jan 2021
    Good point. Our goal is actually to get to an automated scoring system that can reflect not just popularity, but also lots of other qualitative factors for libraries. With our initial release, we are already taking many different factors into account, not only stars: https://github.com/best-of-lists/best-of-generator#project-quality-score . But there is a lot to improve, and we are working on an improved version of the calculation.
  • Top 5 Model Interpretability Libraries for Python
    1 project | dev.to | 14 Jan 2021
    Welcome to the post about the Top 5 Python ML Model Interpretability libraries! You ask yourself how we selected the libraries? Well, we took them from our Best of Machine Learning with Python list. All libraries on this best-of list are automatically ranked by a quality score based on a variety of metrics, such as GitHub stars, code activity, used license and other factors. You can find more details in the best-of-generator repo.

What are some alternatives?

When comparing best-of-python-dev and best-of-generator you can also consider the following projects:

testbook - ๐Ÿงช ๐Ÿ“— Unit test your Jupyter Notebooks the right way

dtale - Visualizer for pandas data structures

ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs

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

remote - Moved to https://github.com/labmlai/labml/tree/master/remote

best-of-ml-python - ๐Ÿ† A ranked list of awesome machine learning Python libraries. Updated weekly.

autoflake - Removes unused imports and unused variables as reported by pyflakes

pywsitest - PYthon WebSocket Integration TESTing framework

best-of-web-python - ๐Ÿ† A ranked list of awesome python libraries for web development. Updated weekly.

best-of-jupyter - ๐Ÿ† A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!