# Luoyacheng/legado-E

阅读Sigma是legado的继承，保持开源免费，延续开源精神。

Repository: https://github.com/Luoyacheng/legado-E
Canonical: https://ross.abutalabs.com/products/legado-e
Language: Kotlin
License: GPL-3.0
License Family: copyleft
Last push: 2026-08-01T05:19:41+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 74, longevity 28
- inputs: {"age_days": 404, "days_push": 32, "days_rel": 179, "gap_med": 14, "n_releases_24m": 10}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2485, forks 564 (observed 2026-08-28T04:06:55.210874+00:00)

## What it is
阅读Sigma (Reading Sigma) is an open-source Android e-book reader forked from Legado, offering customizable book sources, RSS subscriptions, and local TXT/EPUB reading. It extends the original with audio playback with lyrics, video playback with danmaku, and improved book source editing.

## Use cases
- read epub and txt novels on android
- import custom book sources to scrape web novels
- subscribe to rss content feeds
- customize reading interface fonts and themes
- listen to books with text-to-speech
- replace and purify ads in book content

## When to choose
- you want a free, ad-free, highly customizable android reading app
- you need custom web-scraping book source rules
- you want audio/video playback features beyond a plain reader

## When to avoid
- you want an app that ships with built-in book content
- you need an iOS or desktop reader
- you prefer a zero-configuration reading experience without importing sources

## Facets
- artifact type: application
- maturity: active
- function: web-scraping, parser, gui, plugin-system
- domain: developer-tools, entertainment, media, cross-platform
- platform: jvm
- tags: ebook-reader, book-sources, reading-app, legado-fork, rss-reader, epub, tts, android, mobile

## Member repositories
- Luoyacheng/legado-E (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.210874+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 2026-08-30T02:28:03.530768+00:00, confidence not recorded.
  - readme: https://github.com/Luoyacheng/legado-E (fetched 2026-08-28T04:06:55.210874+00:00, sha b73e1d0f6a35)
- Data as of 2026-08-30T08:39:29.467469+00:00.