# markyun/markyun

在Github的学习片段

Repository: https://github.com/markyun/markyun
Canonical: https://ross.abutalabs.com/products/markyun
Homepage: http://markyun.github.io/
License Family: other
Topics: front-end, front-end-developer, front-end-interview-question
Last push: 2024-02-02T02:11:48+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": 4967, "days_push": 944, "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 11224, forks 2764 (observed 2026-08-28T04:10:46.506997+00:00)

## What it is
A GitHub-hosted personal blog and collection of front-end learning notes by markyun, including the well-known Front-end Developer Questions interview prep material and the WebCIA Weekly newsletter. It covers web performance, OAuth2, coding standards, Git workflows, and RSS tooling articles.

## Use cases
- prepare for front-end developer interviews
- learn web performance analysis with Web Vitals
- find front-end coding and Git branch naming conventions
- read a curated weekly digest of web development resources
- learn how to integrate OAuth2 login with Google, Apple, and Facebook

## When to choose
- you are a front-end developer studying for interviews
- you want curated Chinese-language web development articles and weekly digests

## When to avoid
- you need runnable software, a library, or a tool
- you need English-language or actively versioned technical documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: web-development, frontend, tutorials, education
- platform: -
- tags: blog, front-end-interview-questions, learning-notes, weekly-newsletter, rss, web

## Member repositories
- markyun/markyun (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.506997+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 2026-08-29T17:16:25.959015+00:00, confidence not recorded.
  - readme: https://github.com/markyun/markyun (fetched 2026-08-28T04:10:46.506997+00:00, sha 6bb3a52af8b7)
  - homepage: http://markyun.github.io/ (fetched 2026-08-29T08:15:17.312863+00:00, sha b86ba115a861)
- Data as of 2026-08-30T08:39:29.467469+00:00.