binarywang/wxjava

微信开发 Java SDK ,支持包括微信支付,开放平台,小程序,企业微信,视频号,公众号等的后端开发

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 17 minutes ago
Added to GitGenius on September 13th, 2026
Created on January 6th, 2016
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 9,057
Total Stargazers: 33,088 (+0)
Total Subscribers: 1,336 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 25.9 hours
Mean response time: 12.5 days
90th percentile: 22.3 days
Tracked items: 364

Most active contributors

Sign in to see contributor activity.

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 12% of issues opened in the past year have been closed. Three people close 87% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 1
New in 7 days: 1
Closed in 7 days: 2
Avg open age: 2,938 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 1
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • stale (14)
  • 视频号 (14)
  • 新接口 (9)
  • bug (7)
  • enhancement (7)
  • dependencies (1)
  • good first issue (1)
  • java (1)

Most active issues this week

Detailed Description

WxJava is a Java SDK that provides backend development support for WeChat ecosystem services including WeChat Pay, official accounts, mini programs, enterprise WeChat, video accounts, and the open platform.

The tool addresses the complexity of integrating multiple WeChat services into Java applications by bundling dedicated modules for each WeChat feature. Developers can select and include only the modules relevant to their use case rather than implementing WeChat API integrations from scratch. The SDK handles authentication, request formatting, and response parsing for WeChat's various endpoints.

Teams building WeChat-integrated applications in Java should adopt this tool if they need to support one or more WeChat services. The modular architecture means you can start with a single module like WeChat Pay or mini programs and add others as requirements expand. The README emphasizes a three-minute quick start process: select your required module, add the Maven dependency, and initialize using provided examples. The project includes AI programming agent skills to guide module selection, integration, troubleshooting, API contribution, and version migration, which can assist both new users and contributors.

The project maintains active development with regular updates across its multiple modules. Documentation is comprehensive, including quick-start guides, minimal working examples, and detailed module selection guidance. The codebase supports a wide range of WeChat features through separate, independently versioned modules rather than a monolithic package, allowing teams to upgrade components on their own schedules.