# soruly/awesome-acg

A curated list of awesome technologies related to Anime, Comic and Games

Repository: https://github.com/soruly/awesome-acg
Canonical: https://ross.abutalabs.com/products/awesome-acg
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, anime
Last push: 2026-07-15T06:46:27+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 3801, "days_push": 49, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1469, forks 72 (observed 2026-08-28T04:04:49.094007+00:00)

## What it is
A curated awesome-list of tools, libraries, and projects related to anime, comics, games, light novels, visual novels, vocaloid, and touhou. It serves as a discovery index rather than software itself.

## Use cases
- find tools for anime and manga fandom projects
- discover danmaku video player libraries
- find anime image reverse search tools
- locate comic and novel downloaders
- find anime character voice synthesis software
- discover anime metadata database APIs

## When to choose
- you want a broad curated index of ACG-related open-source projects
- you're exploring what tools exist in the anime/comics/games ecosystem
- you need starting points for building fan apps or scrapers

## When to avoid
- you need a single production-ready tool rather than a list of links
- you need maintained, quality-vetted software with support guarantees
- you're looking for non-ACG developer resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, image-processing, audio-processing, web-scraping
- domain: awesome-lists, gaming-tools, media, entertainment
- platform: cross-platform
- tags: awesome-list, anime, manga, games, curated-list, acg, danmaku, visual-novel

## Member repositories
- soruly/awesome-acg (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.094007+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 2026-08-30T04:34:54.965619+00:00, confidence not recorded.
  - readme: https://github.com/soruly/awesome-acg (fetched 2026-08-28T04:04:49.094007+00:00, sha 741488672ef4)
- Data as of 2026-08-30T08:39:29.467469+00:00.