# sxcool1024/Jay

周杰伦无损合集，项目制作者是一个超级发烧友，购买了周杰伦全部正版碟片，本项目分享的是正版碟片提取的无损音轨，并包含专辑封面及介绍页的高清图片，点目录可查看对应专辑详情并下载。项目共16.57GB

Repository: https://github.com/sxcool1024/Jay
Canonical: https://ross.abutalabs.com/products/jay
License Family: other
Topics: jay, lossless, album
Last push: 2026-08-30T14:54:49+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 100, release rhythm 35, longevity 100
- inputs: {"age_days": 2328, "days_push": 3, "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 1169, forks 207 (observed 2026-09-01T02:14:07.687425+00:00)

## What it is
A curated archive of lossless audio tracks ripped from genuine Jay Chou (周杰伦) CDs, totaling 16.57GB, including studio albums, EPs, concert recordings, and film soundtracks. Each album directory contains high-resolution scans of cover art and booklet pages along with downloadable archives.

## Use cases
- download lossless Jay Chou albums
- find FLAC rips of Jay Chou CDs
- get high-res album cover scans for Jay Chou discography
- download Jay Chou concert and soundtrack CDs
- build a lossless music library of Mandopop albums

## When to choose
- you want lossless-quality Jay Chou music ripped from original discs
- you need high-resolution album artwork and booklet scans
- you want the complete discography including EPs and film soundtracks in one place

## When to avoid
- you need streaming or online playback rather than file downloads
- you want music by other artists or a general music library
- you cannot access password-protected archives

## Facets
- artifact type: dataset
- maturity: active
- function: audio-processing, file-system
- domain: media, entertainment, files
- platform: cross-platform
- tags: lossless-audio, music-archive, jay-chou, cd-rips, album-artwork, flac

## Member repositories
- sxcool1024/Jay (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:14:07.687425+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 2026-08-30T06:33:23.918606+00:00, confidence not recorded.
  - readme: https://github.com/sxcool1024/Jay (fetched 2026-09-01T02:14:07.687425+00:00, sha 33104718d899)
- Data as of 2026-08-30T08:39:29.467469+00:00.