best-of-web-python VS best-of-generator

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

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best-of-web-python best-of-generator
3 3
2,163 62
1.6% -
7.9 1.9
7 days ago 14 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-web-python

Posts with mentions or reviews of best-of-web-python. 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-web-python and best-of-generator you can also consider the following projects:

fastapi-azure-auth - Easy and secure implementation of Azure Entra ID (previously AD) for your FastAPI APIs 🔒 B2C, single- and multi-tenant support.

dtale - Visualizer for pandas data structures

djangochannelsrestframework - A Rest-framework for websockets using Django channels-v4

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

django-renderpdf - 📄 Django app to render django templates as PDF files.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

drf-flex-fields - Dynamically set fields and expand nested resources in Django REST Framework serializers.

pywsitest - PYthon WebSocket Integration TESTing framework

django-restql - Turn your API made with Django REST Framework(DRF) into a GraphQL like API.

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

django-rest-framework-social-oauth2 - python-social-auth and oauth2 support for django-rest-framework

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