# GGGHub/Reader

iOS基于CoreText实现的电子书阅读器，支持txt，epub格式

Repository: https://github.com/GGGHub/Reader
Canonical: https://ross.abutalabs.com/products/ggghub-reader
Homepage: https://github.com/GGGHub/Reader
Language: Objective-C
License Family: other
Last push: 2022-10-09T09:42:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3747, "days_push": 1424, "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 1214, forks 327 (observed 2026-08-28T04:04:00.945452+00:00)

## What it is
An iOS ebook reader library built on Core Text that supports txt and epub formats. It provides chapter extraction, table of contents, text selection with notes, reading progress persistence, and theme/font customization.

## Use cases
- embed an epub reader in an iOS app
- display txt ebook files with pagination
- extract chapters and build a table of contents from an ebook
- save and restore reading progress
- add text selection, copy, and note-taking to a reader
- customize fonts and themes for ebook reading

## When to choose
- you need a native iOS ebook reader component for txt or epub files
- you want Core Text-based rendering with chapter extraction and progress saving
- you prefer a lightweight Objective-C library you can drop into your project

## When to avoid
- you need full epub support with CSS styling and embedded images
- you target Android or cross-platform apps
- you need an actively maintained project with a license and recent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: parser, ui-components, file-system
- domain: mobile-development, files, developer-tools
- platform: cpp
- tags: ebook-reader, epub, core-text, objective-c, txt-reader, reading-app, ios, mobile, swift

## Member repositories
- GGGHub/Reader (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.945452+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 2026-08-30T06:17:20.156285+00:00, confidence not recorded.
  - readme: https://github.com/GGGHub/Reader (fetched 2026-08-28T04:04:00.945452+00:00, sha a2ef87da7d62)
  - homepage: https://github.com/GGGHub/Reader (fetched 2026-08-29T12:25:17.149676+00:00, sha 0b7d0f5ea111)
- Data as of 2026-08-30T08:39:29.467469+00:00.