# frontend9/fe9-library

九部知识库

Repository: https://github.com/frontend9/fe9-library
Canonical: https://ross.abutalabs.com/products/fe9-library
License Family: other
Last push: 2019-04-29T21:45:35+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": 2959, "days_push": 2683, "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 1939, forks 133 (observed 2026-08-28T04:05:57.287270+00:00)

## What it is
A community knowledge base for the Chinese frontend group 'Frontend Nine' (前端九部), organized as GitHub issues and linked handbooks covering HTML, CSS, JavaScript, React, Vue, Node.js, and engineering topics. It also curates member-written manuals such as a beginner's handbook and an interview question bank.

## Use cases
- learn frontend fundamentals like html css and javascript
- find curated frontend articles and tutorials
- prepare for frontend developer interviews
- study react and vue ecosystem guides
- learn webpack and frontend build tooling
- read a chinese-language frontend beginner handbook

## When to choose
- you want curated Chinese-language frontend learning material
- you are a beginner looking for a structured frontend handbook
- you want community-written articles on React, Vue, or Node.js

## When to avoid
- you need up-to-date content, since the project has been inactive since 2019
- you need English-language documentation
- you need runnable code or a software tool rather than articles

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation, developer-tools
- domain: frontend, web-development, tutorials, awesome-lists
- platform: -
- tags: knowledge-base, frontend, chinese, community, articles, handbook, interview-preparation, web-server

## Member repositories
- frontend9/fe9-library (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:57.287270+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 2026-08-30T03:08:11.220325+00:00, confidence not recorded.
  - readme: https://github.com/frontend9/fe9-library (fetched 2026-08-28T04:05:57.287270+00:00, sha e572d200dd2d)
- Data as of 2026-08-30T08:39:29.467469+00:00.