# hyunjun/bookmarks

Repository: https://github.com/hyunjun/bookmarks
Canonical: https://ross.abutalabs.com/products/hyunjun-bookmarks
Language: Python
License Family: other
Last push: 2026-09-02T13:09:49+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 100
- inputs: {"age_days": 4174, "days_push": 0, "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 1140, forks 340 (observed 2026-09-03T02:15:12.810660+00:00)

## What it is
A curated collection of bookmarks organized as Markdown files, covering general topics like travel, food, and philosophy alongside extensive programming resources such as machine learning, databases, and programming languages. It functions as a personal knowledge index of links rather than a software tool.

## Use cases
- find curated learning resources for machine learning and deep learning
- discover links about programming languages and tools
- browse a categorized reading list for software engineers
- look up references on data science and big data topics
- explore bookmark collections on general topics like travel, finance, and health

## When to choose
- you want a human-curated index of links across many programming and general topics
- you prefer plain Markdown files you can fork and extend
- you need a starting point for exploring topics like ML, databases, or cloud platforms

## When to avoid
- you need runnable software or a tool rather than a link collection
- you expect automated bookmark syncing or a web app interface
- you need up-to-date, actively verified links with guaranteed accuracy

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: developer-tools, tutorials, awesome-lists
- platform: -
- tags: bookmarks, curated-links, awesome-list, markdown, reference-collection, web-server

## Member repositories
- hyunjun/bookmarks (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:12.810660+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 2026-08-30T06:36:47.358489+00:00, confidence not recorded.
  - readme: https://github.com/hyunjun/bookmarks (fetched 2026-09-03T02:15:12.810660+00:00, sha 114061ad5190)
- Data as of 2026-08-30T08:39:29.467469+00:00.