# qingmei2/blogs

📝 The Android programing blogs（简体中文）.

Repository: https://github.com/qingmei2/blogs
Canonical: https://ross.abutalabs.com/products/qingmei2-blogs
License Family: other
Last push: 2024-08-22T16:38:54+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": 2806, "days_push": 741, "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 1052, forks 126 (observed 2026-08-28T04:03:23.302260+00:00)

## What it is
A curated collection of Chinese-language technical blog posts on Android programming by developer qingmei (清梅). It indexes articles covering Android Jetpack, dependency injection (Dagger2/Kodein), RxJava, and MVI/MVVM architecture, with links to full posts on external platforms.

## Use cases
- learn android jetpack lifecycle viewmodel livedata
- understand rxjava internals and thread scheduling
- learn dagger2 dependency injection in android
- study mvi architecture for android apps
- find chinese-language android development tutorials
- avoid rxjava memory leaks in android

## When to choose
- you are an Android developer who reads Chinese and wants deep-dive articles on Jetpack, RxJava, and DI
- you want curated, author-written explanations of Android architecture patterns like MVVM and MVI

## When to avoid
- you need runnable code or a library rather than articles
- you only read English
- you need up-to-date coverage of Compose or the latest Android tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: mobile-development, tutorials, android-tools
- platform: -
- tags: android, blog, chinese, jetpack, rxjava, mvi, mvvm, dependency-injection, kotlin, mobile

## Member repositories
- qingmei2/blogs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.302260+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 2026-08-30T06:59:45.346197+00:00, confidence not recorded.
  - readme: https://github.com/qingmei2/blogs (fetched 2026-08-28T04:03:23.302260+00:00, sha 0838d07dfcfe)
- Data as of 2026-08-30T08:39:29.467469+00:00.