# zhaoolee/ChineseBQB

🇨🇳 Chinese sticker pack,More joy / 表情包的博物馆, Github最有毒的仓库, 中国表情包大集合, 聚欢乐~

Repository: https://github.com/zhaoolee/ChineseBQB
Canonical: https://ross.abutalabs.com/products/chinesebqb
Homepage: https://v2fy.com/ChineseBQB/
Language: JavaScript
License Family: other
Last push: 2026-06-19T08:01:26+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 35, longevity 100
- inputs: {"age_days": 2674, "days_push": 75, "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 16049, forks 1338 (observed 2026-08-28T04:11:14.723902+00:00)

## What it is
A large open-source collection of over 5,800 Chinese meme/sticker images hosted on GitHub, with an online search and sharing tool. It also provides an open JSON data source suitable for building apps, crawlers, or machine learning datasets.

## Use cases
- find chinese meme stickers for chatting
- download sticker packs for wechat
- search memes by keyword online
- use sticker images as a machine learning dataset
- build a sticker mini-program with the open data source

## When to choose
- you need a large curated collection of Chinese meme images
- you want an open dataset of labeled sticker images
- you want to share or search stickers via direct links

## When to avoid
- you need Western meme formats or non-Chinese stickers
- you require a permissively licensed asset library (no license is specified)
- you need programmatic sticker generation rather than a static collection

## Facets
- artifact type: dataset
- maturity: active
- function: image-processing, data-generation, search-engine
- domain: media, entertainment, social-media, machine-learning
- platform: cross-platform
- tags: sticker-pack, memes, emoticons, chinese, image-dataset, fun, web

## Member repositories
- zhaoolee/ChineseBQB (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:14.723902+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 2026-08-29T17:05:15.895198+00:00, confidence not recorded.
  - readme: https://github.com/zhaoolee/ChineseBQB (fetched 2026-08-28T04:11:14.723902+00:00, sha 3a0cca6cec62)
- Data as of 2026-08-30T08:39:29.467469+00:00.