# johnxnguyen/Down

Blazing fast Markdown / CommonMark rendering in Swift, built upon cmark.

Repository: https://github.com/johnxnguyen/Down
Canonical: https://ross.abutalabs.com/products/down
Language: C
License: NOASSERTION
License Family: other
Topics: markdown, cmark, swift, commonmark, parsing, ios, tvos, macos, mac, html, ast
Last push: 2023-07-15T08:03:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3749, "days_push": 1145, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2532, forks 381 (observed 2026-08-28T04:06:58.946633+00:00)

## What it is
Down is a fast Markdown/CommonMark rendering library for Swift, built on top of cmark. It parses Markdown into HTML or an AST and supports iOS, tvOS, macOS, and Linux.

## Use cases
- render markdown to html in an ios app
- parse commonmark text in swift
- convert markdown to an ast
- display user-generated markdown content in a macos app
- render markdown strings in a tvos application

## When to choose
- you need fast, spec-compliant CommonMark rendering in Swift
- you target Apple platforms or Linux with Swift Package Manager, CocoaPods, or Carthage
- you need both HTML output and AST access from Markdown

## When to avoid
- you need a pure-Swift Markdown parser without a C dependency
- you need Markdown extensions beyond CommonMark (e.g., GFM tables)
- your project is not in the Swift ecosystem

## Facets
- artifact type: library
- maturity: maintenance
- function: parser, markdown, templating
- domain: parsers, web-development, developer-tools
- platform: -
- tags: commonmark, cmark, html-rendering, ast, tvos, ios, macos, linux, swift

## Member repositories
- johnxnguyen/Down (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.946633+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 2026-08-30T02:25:18.486700+00:00, confidence not recorded.
  - readme: https://github.com/johnxnguyen/Down (fetched 2026-08-28T04:06:58.946633+00:00, sha b3469d757205)
- Data as of 2026-08-30T08:39:29.467469+00:00.