# ascoders/weekly

前端精读周刊。帮你理解最前沿、实用的技术。

Repository: https://github.com/ascoders/weekly
Canonical: https://ross.abutalabs.com/products/ascoders-weekly
Language: JavaScript
License Family: other
Topics: weekly, frontend, awesome
Last push: 2024-09-09T01:39:37+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3453, "days_push": 724, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 31082, forks 3256 (observed 2026-08-28T04:11:56.572222+00:00)

## What it is
A Chinese-language weekly newsletter of carefully annotated deep-dives into frontend and web technology articles, with ~300 issues covering topics like React, CSS, JavaScript module evolution, compiler principles, and design patterns. Content is maintained as a collection of Markdown articles in a GitHub repository.

## Use cases
- stay current on frontend technology trends
- learn React and JavaScript concepts through deep-dive articles
- find curated frontend reading material each week
- study compiler principles and design patterns explained for frontend developers
- read Chinese-language explanations of cutting-edge web tech

## When to choose
- you read Chinese and want weekly curated frontend deep-dives
- you want article-style explanations rather than documentation or tools
- you are a frontend engineer seeking structured learning across many topics

## When to avoid
- you need runnable code, a library, or a tool rather than articles
- you cannot read Chinese
- you need actively updated content - the latest issue dates to September 2024

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: frontend, web-development, tutorials
- platform: -
- tags: weekly-newsletter, chinese-language, frontend, tech-articles, awesome-list, web-server

## Member repositories
- ascoders/weekly (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:56.572222+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 2026-08-29T16:52:19.683334+00:00, confidence not recorded.
  - readme: https://github.com/ascoders/weekly (fetched 2026-08-28T04:11:56.572222+00:00, sha 15a9c727e623)
- Data as of 2026-08-30T08:39:29.467469+00:00.