codex_english2python VS pyprops

Compare codex_english2python vs pyprops and see what are their differences.

codex_english2python

Converts plain english to python code snippets by using OpenAI CODEX. (by alxschwrz)

pyprops

A novel, extensible approach to data properties with a consistent boilerplate. (by JTHMedia)
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codex_english2python pyprops
8 2
15 0
- -
10.0 10.0
over 1 year ago over 1 year ago
Python Python
MIT License MIT License
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.

codex_english2python

Posts with mentions or reviews of codex_english2python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.

pyprops

Posts with mentions or reviews of pyprops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-16.

What are some alternatives?

When comparing codex_english2python and pyprops you can also consider the following projects:

dynamic-gpt-ui - Dynamic UI generation with GPT-3 (OpenAI)

pyprops - A property descriptor with smoother default functionality,

codex-readme - Revolutionize your project documentation with the Codex-README generator, utilizing OpenAI's Codex for intelligent README creation.

ANTIBODYLauncher - Swiss Army Knife for tomfoolery :)

codex_py2cpp - Converts python code into c++ by using OpenAI CODEX.

jupyter-book - Create beautiful, publication-quality books and documents from computational content.

Zundler - Bundle assets of distributed HTML docs into one self-contained HTML file

neograd - A deep learning framework created from scratch with Python and NumPy