codex_english2python VS Zundler

Compare codex_english2python vs Zundler and see what are their differences.

codex_english2python

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

Zundler

Bundle assets of distributed HTML docs into one self-contained HTML file (by AdrianVollmer)
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codex_english2python Zundler
8 4
15 18
- -
10.0 5.6
over 1 year ago 4 days 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.
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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.

Zundler

Posts with mentions or reviews of Zundler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-25.
  • Portable EPUBs
    2 projects | news.ycombinator.com | 25 Jan 2024
    I fully agree with the author's "I want to replace PDF" sentiment.

    It's true that running code in the document has some downsides, but the vast majority of people does it all the time in their browsers. And it comes with tremendous upsides. Just imagine large amount of data presented in interactive tables which can sort, filter and export or interactive graphs inside the document. We already use HTML+JS so much, why should we stop at documents? Yes, they can't be printed, but in my observation less and less people even own a printer these days, and I see no reason why this trend should not continue. I bet the future will be mostly living, interactive documents.

    It's funny that I just mentioned this in the other thread [1], but I also felt that there is a need for a format that is self-contained and widely supported by standard software (by which I mean browsers). A well-specified open format would be great, but until then I tackled the self-containedness problem with JS and wrote a Python script that zips and bundles all assets and embeds them as a SPA into one HTML file [2]. The focus is on Sphinx docs but it should work in general with all distributed HTML docs.

    [1] https://news.ycombinator.com/item?id=39138444

    [2] https://github.com/AdrianVollmer/Zundler

  • I don't always use LaTeX, but when I do, I compile to HTML (2013)
    13 projects | news.ycombinator.com | 25 Jan 2024
    One of the selling points of PDF is that it is a single self-contained file. I found this lacking in Sphinx and wrote an extension for it to zip and bundle the assets into a single HTML file: https://github.com/AdrianVollmer/Zundler

    Also works with HTML documents produced in other ways.

  • Should you use a Resume Writer?
    1 project | /r/devopsjobs | 26 Jan 2023
    I have used my own format, resume.json and recently restructuredText. I put both resume.json and the restructuredText as a github gist. My biggest thing is that I don't want to mess around with the style of layout and let other people design a theme. I have been using the sphinx plugins docxbuilder, sphinx-design (for a dropdown option that I kinda thought would be cool), and finally Zundler for an all-in-one HTML file.
  • Sunday Daily Thread: What's everyone working on this week?
    6 projects | /r/Python | 16 Oct 2022
    So I wrote a tool in Python and JavaScript that attempts to solve this by embedding everything in one singular self-contained HTML file: Zundler

What are some alternatives?

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

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

sphinx-codeautolink - Automatic links from code examples to reference documentation

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

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

pyprops - A novel, extensible approach to data properties with a consistent boilerplate.

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

pyprops - A property descriptor with smoother default functionality,

ANTIBODYLauncher - Swiss Army Knife for tomfoolery :)

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