# rogerzhu/MNWeeklyCategory

码农周刊一周精选分类

Repository: https://github.com/rogerzhu/MNWeeklyCategory
Canonical: https://ross.abutalabs.com/products/mnweeklycategory
Language: Python
License Family: other
Last push: 2020-12-29T22:48:53+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": 2521, "days_push": 2073, "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 1161, forks 124 (observed 2026-08-28T04:03:49.225596+00:00)

## What it is
A categorized collection of over 10,000 curated links from 327+ issues of the Chinese 'Manong Weekly' (码农周刊) newsletter, organized into markdown files by topic such as programming languages, frontend, mobile, AI, and infrastructure. It includes Python scraping tools (selenium + BeautifulSoup) that fetch new issues and regenerate the categorized markdown files.

## Use cases
- find curated programming articles by topic
- browse categorized developer learning resources
- scrape and archive newsletter links into markdown
- discover resources for python, go, rust, and other languages
- find interview preparation and algorithm study materials
- keep a categorized link collection updated automatically

## When to choose
- you want a large, topic-organized archive of Chinese developer articles and resources
- you want to learn from curated links across many programming domains
- you need a reference example of scraping and categorizing newsletter content

## When to avoid
- you need English-only resources
- you need an actively maintained dataset with guaranteed link validity
- you need structured data formats like JSON or CSV rather than markdown

## Facets
- artifact type: dataset
- maturity: maintenance
- function: web-scraping, documentation, data-generation
- domain: developer-tools, tutorials, awesome-lists
- platform: python
- tags: curated-links, weekly-newsletter, markdown, chinese, learning-resources, selenium, beautifulsoup, linux

## Member repositories
- rogerzhu/MNWeeklyCategory (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.225596+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 2026-08-30T06:31:43.769223+00:00, confidence not recorded.
  - readme: https://github.com/rogerzhu/MNWeeklyCategory (fetched 2026-08-28T04:03:49.225596+00:00, sha 3c78c2f7897a)
- Data as of 2026-08-30T08:39:29.467469+00:00.