# mqyqingfeng/Blog

冴羽写博客的地方，预计写四个系列：JavaScript深入系列、JavaScript专题系列、ES6系列、React系列。

Repository: https://github.com/mqyqingfeng/Blog
Canonical: https://ross.abutalabs.com/products/mqyqingfeng-blog
License Family: other
Topics: blog, javascript, advanced
Last push: 2026-06-09T09:43:14+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 3460, "days_push": 85, "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 31078, forks 4646 (observed 2026-08-28T04:11:56.566547+00:00)

## What it is
A popular Chinese-language technical blog repository by 冴羽 (yayujs) containing in-depth article series on JavaScript fundamentals, ES6, and React. It serves as a learning resource rather than software, hosted via GitHub issues and a companion website.

## Use cases
- learn javascript deep concepts like closures and prototypes
- study es6 features with detailed explanations
- understand react fundamentals through tutorials
- read in-depth javascript articles in chinese
- prepare for frontend interview questions

## When to choose
- you want deep, well-written explanations of JavaScript internals and ES6
- you prefer learning from long-form article series in Chinese
- you are preparing for frontend interviews

## When to avoid
- you need runnable code, libraries, or tools
- you need content in English
- you want a structured course with exercises rather than blog posts

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: web-development, frontend, tutorials, programming-languages
- platform: -
- tags: javascript, blog, es6, react, deep-dive, chinese-language, web-server

## Member repositories
- mqyqingfeng/Blog (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:56.566547+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 2026-08-29T16:52:19.783253+00:00, confidence not recorded.
  - readme: https://github.com/mqyqingfeng/Blog (fetched 2026-08-28T04:11:56.566547+00:00, sha 38454ccf0c60)
- Data as of 2026-08-30T08:39:29.467469+00:00.
