# JessicaTegner/pypandoc

Thin wrapper for "pandoc" (MIT)

Repository: https://github.com/JessicaTegner/pypandoc
Canonical: https://ross.abutalabs.com/products/pypandoc
Homepage: http://pypi.python.org/pypi/pypandoc/
Language: Python
License: MIT
License Family: permissive
Topics: pypandoc, formatting, markdown, html, pdf, python, pandoc, pdf-generation, hacktoberfest, hacktoberfest2022
Last push: 2026-08-12T08:07:01+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 43, longevity 100
- inputs: {"age_days": 5404, "days_push": 21, "days_rel": 171, "gap_med": null, "n_releases_24m": 1}
- flags: prerelease_only
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1151, forks 119 (observed 2026-08-28T04:03:46.768591+00:00)

## What it is
pypandoc is a thin Python wrapper around the pandoc universal document converter, letting you call pandoc from Python code. It is available as 'pypandoc' (requires a separate pandoc install) or 'pypandoc_binary' with pandoc bundled.

## Use cases
- convert markdown to html from python
- generate pdf documents from markdown
- convert docx to markdown programmatically
- run pandoc conversions inside a python script
- batch-convert documents between formats

## When to choose
- you need pandoc's document conversion from within Python
- you want a pip-installable package with optional bundled pandoc binary

## When to avoid
- you need a converter other than pandoc
- you only use pandoc from the command line and don't need Python integration

## Facets
- artifact type: library
- maturity: active
- function: parser, pdf, markdown, developer-tools
- domain: developer-tools, documentation, files
- platform: python, cross-platform, cli
- tags: pandoc, document-conversion, wrapper, html, pdf-generation

## Member repositories
- JessicaTegner/pypandoc (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.768591+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:35.348979+00:00, confidence not recorded.
  - readme: https://github.com/JessicaTegner/pypandoc (fetched 2026-08-28T04:03:46.768591+00:00, sha b9ec647a4fde)
  - homepage: http://pypi.python.org/pypi/pypandoc/ (fetched 2026-08-29T12:38:23.157141+00:00, sha e46a385526f5)
  - registry_pypi: https://pypi.org/pypi/pypandoc/json (fetched 2026-08-29T12:38:23.159780+00:00, sha 2c4ddbb3b658)
- Data as of 2026-08-30T08:39:29.467469+00:00.