# honcheng/RTLabel

simple rich text display for iOS using html-like markups

Repository: https://github.com/honcheng/RTLabel
Canonical: https://ross.abutalabs.com/products/rtlabel
Homepage: http://honcheng.com
Language: Objective-C
License: NOASSERTION
License Family: other
Last push: 2017-09-19T00:58:11+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": 5602, "days_push": 3271, "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 1452, forks 373 (observed 2026-08-28T04:04:46.122346+00:00)

## What it is
RTLabel is an Objective-C iOS library that works like UILabel but renders rich text using HTML-like markup tags, built on Core Text. It supports bold, italic, underline, custom fonts, colors, strokes, kerning, indentation, and clickable links.

## Use cases
- display rich formatted text in an iOS label
- render bold, italic, and underlined text from HTML-like markup
- make clickable links inside a UILabel-like view
- customize font, size, and color inline in attributed text
- control line spacing, kerning, and indentation in iOS text

## When to choose
- you maintain a legacy Objective-C iOS app needing simple HTML-like rich text in labels
- you want a drop-in UILabel replacement with markup support

## When to avoid
- starting a new iOS project — use NSAttributedString or TextKit instead
- you need Swift or modern iOS APIs
- you need actively maintained software

## Facets
- artifact type: library
- maturity: abandoned
- function: ui-components, parser
- domain: mobile-development, frontend
- platform: -
- tags: objective-c, uikit, rich-text, html-markup, core-text, uilabel, ios

## Member repositories
- honcheng/RTLabel (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.122346+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 2026-08-30T04:35:48.171525+00:00, confidence not recorded.
  - readme: https://github.com/honcheng/RTLabel (fetched 2026-08-28T04:04:46.122346+00:00, sha f14720ac0d91)
- Data as of 2026-08-30T08:39:29.467469+00:00.