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JessicaTegner
pypandoc
Python2023–2024
JessicaTegner / pypandoc

pypandoc

Thin wrapper for "pandoc" (MIT)

Web DevelopmentProductivity
Explore on GitHubRead Hacker News discussions
4Distinct people
5Mentions
0Explicit recommenders
1.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Thin wrapper for "pandoc" (MIT)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month5 dated mentions

Observed mentions: 2023-04-13 12:50:03 UTC to 2024-02-20 19:43:44 UTC.

012342023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 commentsApr 20232023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20232023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC404
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC101

What Hacker News says

5 sources
anotherpaulg·Feb 20, 2024
I recently used Playwright for Python [0] and pypandoc [1] to build a scraper that fetches a webpage and turns the content into sane markdown so that it can be passed into an AI coding chat [2]. They are both powerful yet pragmatic dependencies to add to a project. I really like that both packages contain wheels or scriptable methods to install their underlying platform-specific binary dependencies. This means you don't need to ask end users to figure out some complex, platform-specific package manager to install playwright and pandoc. Playwright let's you scrape pages that rely on js. Pandoc is great at turning HTML into sensible markdown. For example, below is an excerpt of the openai pricing docs [3] that have been scraped to markdown [4] in this manner. [0] https://playwright.dev/python/docs/intro [1] https://github.com/JessicaTegner/
Read the rest
pypandoc [2] https://github.com/paul-gauthier/aider [3] https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turb... [4] https://gist.githubusercontent.com/paul-gauthier/95a1434a28d... ## GPT-4 and GPT-4 Turbo GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. GPT-4 is available in the OpenAI API to [paying customers](https://help.openai.com/en/articles/7102672-how-can-i-access-gpt-4). Like `gpt-3.5-turbo`, GPT-4 is optimized for chat but works well for traditional completions tasks using the [Chat Completions API](/docs/api-reference/chat). Learn how to use GPT-4 in our [text generation guide](/docs/guides/text-generation). +-----------------+-----------------+-----------------+-----------------+ | Model | Description | Context window | Training data | +=================+=================+=================+=================+ | gpt | | 128,000 tokens | Up to Dec 2023 | | -4-0125-preview | | | | | | New | | | | | | | | | | | | | | | | | | | | **GPT-4 | | | | | Turbo**\ | | | | | The latest | | | | | GPT-4 model | | | | | intended to | | | | | reduce cases of | | | | | "laziness" | | | | | where the model | | | | | doesn't | | | | | complete a | | | | | task. Returns a | | | | | maximum of | | | | | 4,096 output | | | | | tokens. [Learn | | | | | more](ht | | | | | tps://openai.co | | | | | m/blog/new-embe | | | | | dding-models-an | | | | | d-api-updates). | | | +-----------------+-----------------+-----------------+-----------------+ | gpt- | Currently | 128,000 tokens | Up to Dec 2023 | | 4-turbo-preview | points to | | | | | `gpt-4 | | | | | -0125-preview`. | | | +-----------------+-----------------+-----------------+-----------------+ ...
In Web Scraping in Python – The Complete Guide
precompute·Apr 13, 2023
Looks like they peppered in some weird projects in there as well. I'd have expected some "hard software engineering" projects as well, but I guess not everyone is ready to be a spokesman for github's view of the world. https://github.com/EddieHubCommunity/LinkFree : "Your profile will have links to your social media and content. You can also add your timeline, testimonials, and upcoming events that you are participating in." Sounds lame. Is this really worth including in this list? https://github.com/JessicaTegner/pypandoc: "Pypandoc provides a thin wrapper for pandoc, a universal document converter." So random. Why not support pandoc instead? It seems like a political statement by Microsoft. The list only has "trendy" stuff, carefully moves around any and all "AI" stuff, and none of it seems experimental at all. If I didn't know th
Read the rest
is was "Github Accelerator" and was shown the list, I'd have assumed this was some VC's list of prospective Open Source programs that could turn a penny or two down the road. It seems pretty obvious to me that now that Github has cornered the "open source" market, it's on the "Extend" phase, looking to change how Open Source is approached. https://en.wikipedia.org/wiki/Embrace,_extend,_and_extinguis...
In GitHub Accelerator: our first cohort and what’s next
Kwpolska·Apr 13, 2023
> JessicaTegner/pypandoc Pypandoc provides a thin wrapper for pandoc, a universal document converter. To be frank, that doesn’t seem like a project worthy of $20k to me. Not very many commits recently [0], it has 918 source lines of code in the main package, and 547 lines of test code — it even describes itself as a “thin” wrapper, and the only thing it does is converting some arguments to Pandoc flags and calling the Pandoc executable. How many more features could be added to this project? What is it missing now? [0] https://github.com/JessicaTegner/pypandoc/commits/master
In GitHub Accelerator: our first cohort and what’s next
255kb·Apr 13, 2023
I'm thrilled to see my project (https://mockoon.com) being part of this first cohort! It's a great opportunity but it's also good for open-source projects in general. It can only contribute to make our industry more sustainable. Here is the list of the 20 projects that have been selected: - https://github.com/analogjs/analog: Analog is a fullstack meta-framework to build applications and websites with Angular - https://github.com/Atri-Labs/atrilabs-engine: The Python web framework to build production-grade apps - https://github.com/bigskysoftware/htmx: Makes AJAX, Web Sockets, etc. available directly in HTML - https://github.com/code-hike/codehike: Tools for building all types of code walkthroughs: blogs, docs, slides, tutorials, etc. - https://github.com/DioxusLabs/dioxus: Friendly React-like GUI library for desktop, web, mobile, and mor
Read the rest
e, written in Rust. - https://github.com/EddieHubCommunity/LinkFree: Connecting with your audience with a single link, showcasing your content and projects. - https://github.com/FashionFreedom/Seamly2D: Design CAD to democratize and de-centralize fashion design & production. - https://github.com/fastai/nbdev: Increase developer productivity by 10x with a new exploratory programming workflow. - https://github.com/formbricks/formbricks: Open-source Qualtrics alternative - https://github.com/GyulyVGC/sniffnet: Cross-platform application to comfortably monitor and analyse network traffic - https://github.com/JessicaTegner/pypandoc: Pypandoc provides a thin wrapper for pandoc, a universal document converter. - https://github.com/mockoon/mockoon: Mockoon is the easiest and quickest way to design and run mock REST APIs. - https://github.com/nuxt/nuxt: An intuitive framework for building web applications, built for the edge. - https://github.com/responsively-org/responsively-app: A dev-tool for web developers that aid in faster responsive web page development. - https://github.com/simonw/datasette: An open source multi-tool for exploring and publishing data - https://github.com/spyder-ide/spyder: The scientific Python development environment - https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations - https://github.com/termux/termux-app: A terminal emulator for Android that provides 2000+ linux packages to code on phone - https://github.com/TimothyStiles/poly: Poly is a fast, well tested Go package for engineering organisms. - https://github.com/trpc/trpc: End-to-end typesafe APIs made easy. Never write another API contract again. Edit: formatting and updated repo links
In GitHub Accelerator: our first cohort and what’s next

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