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Topics: wechat-mini-program

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2 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Topic: wechat-mini-program

1.NervJS / taro

开放式跨端跨框架解决方案，支持使用 React/Vue 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。

taro
react
reactjs
react-native
weixin
wechat
+9 more

TypeScript Other license38K total4.9K forks

+471 stars

from 37,273 · score 6.16

2.linlinjava / litemall

又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端

litemall
wechat-mini-program
spring-boot
mall
wechat
vue

Java MIT20K total7.3K forks

+306 stars

from 20,094 · score 5.73

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it; see Tags.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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