# taofan233/azurlane_uncensored

碧蓝航线反和谐

Repository: https://github.com/taofan233/azurlane_uncensored
Canonical: https://ross.abutalabs.com/products/azurlane_uncensored
License Family: other
Last push: 2025-12-30T07:45:18+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 59, release rhythm 8, longevity 100
- inputs: {"age_days": 2291, "days_push": 246, "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 1054, forks 85 (observed 2026-08-28T04:03:24.052831+00:00)

## What it is
A community-maintained asset patch that removes censorship from the mobile game Azur Lane (碧蓝航线) by replacing game files, plus an optional 'Plus' patch restoring discarded/unused character artwork. Users download release archives and copy the files folder into the game's data directory on their device.

## Use cases
- uncensor azur lane character art
- restore censored shipgirl skins in azur lane
- get discarded unused character illustrations in azur lane
- patch azur lane l2d skins to original versions
- remove harmony censorship from bilibili azur lane

## When to choose
- you play Azur Lane and want the original uncensored artwork restored
- you want access to scrapped/unused skin illustrations via the Plus patch

## When to avoid
- you need something that survives game updates without re-applying the patch
- you want a tool for a game other than Azur Lane
- you cannot modify game data files on your device (e.g. restricted iOS setup)

## Facets
- artifact type: dataset
- maturity: active
- function: game, graphics
- domain: gaming-tools, media
- platform: -
- tags: azur-lane, uncensored-patch, game-assets, texture-replacement, chinese-game, fan-patch, game-development, android, ios

## Member repositories
- taofan233/azurlane_uncensored (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:24.052831+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 2026-08-30T06:59:03.257591+00:00, confidence not recorded.
  - readme: https://github.com/taofan233/azurlane_uncensored (fetched 2026-08-28T04:03:24.052831+00:00, sha 9e5ebc160773)
- Data as of 2026-08-30T08:39:29.467469+00:00.