git-jiadong/wechatDataBackup

wechatDataBackup is a backup tool that exports and preserves WeChat message data and chat history.

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Summary Information

Updated 45 minutes ago
Added to GitGenius on September 10th, 2026
Created on August 15th, 2024
Open Issues & Pull Requests: 118 (+0)
GitHub issues: Enabled
Number of forks: 59
Total Stargazers: 6,416 (+0)
Total Subscribers: 27 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.7 hours
Mean response time: 7.7 days
90th percentile: 19.5 days
Tracked items: 89

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 60% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 1% of issues opened in the past year have been closed. Three people close 70% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 117
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 360 days
Stale 30+ days: 112
Stale 90+ days: 96

Recent activity

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

Top labels

  • feature (15)
  • bug (2)

Most active issues this week

Detailed Description

wechatDataBackup is a backup tool that exports and preserves WeChat message data and chat history.

The tool addresses the need to safeguard conversations and data from WeChat, a widely used messaging platform. It works by extracting message data from WeChat and creating backups that can be stored independently, allowing users to preserve their chat history and recover conversations if needed.

The tool suits users who want to archive their WeChat communications for personal record-keeping, data migration, or recovery purposes. It is particularly relevant for those concerned about message preservation on mobile messaging platforms where data loss or account issues could result in lost conversations.

The project maintains active engagement with its user base, with most open issues coming from adopters reporting real-world usage rather than from the core team. Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker centers on feature requests and bug reports.