# bayandin/awesome-awesomeness

A curated list of awesome awesomeness

Repository: https://github.com/bayandin/awesome-awesomeness
Canonical: https://ross.abutalabs.com/products/awesome-awesomeness
Language: Ruby
License Family: other
Last push: 2024-06-02T22:46:41+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": 4439, "days_push": 822, "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 33626, forks 3601 (observed 2026-08-28T04:11:58.374459+00:00)

## What it is
A curated meta-list of awesome lists, indexing hundreds of topic-specific curated resource collections across programming languages, tools, and domains. It serves as a directory for discovering other awesome-* repositories on GitHub.

## Use cases
- find curated resources for a programming language
- discover awesome lists by topic
- find learning resources for go or rust
- locate curated tool collections for a framework
- explore the awesome-list ecosystem
- find where to start learning a new language

## When to choose
- you want a starting point to discover curated resource lists across many topics
- you are exploring what awesome lists exist for a language or tool

## When to avoid
- you need actual software or a library rather than links
- you need up-to-date, verified resources - links may be stale

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: awesome-lists, developer-tools, programming-languages
- platform: -
- tags: awesome-list, curated-list, meta-list, resource-directory, web-server

## Member repositories
- bayandin/awesome-awesomeness (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:58.374459+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 2026-08-29T16:28:13.737105+00:00, confidence not recorded.
  - readme: https://github.com/bayandin/awesome-awesomeness (fetched 2026-08-28T04:11:58.374459+00:00, sha a8820d187bf4)
- Data as of 2026-08-30T08:39:29.467469+00:00.