jitwxs/163musiclyrics

云音乐歌词获取处理工具【网易云、QQ音乐】

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Summary Information

Updated 4 minutes ago
Added to GitGenius on September 16th, 2026
Created on August 11th, 2017
Open Issues & Pull Requests: 42 (+0)
GitHub issues: Enabled
Number of forks: 184
Total Stargazers: 4,103 (+0)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.2 days
Mean response time: 67.4 days
90th percentile: 137.6 days
Tracked items: 99

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How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 4 days, while "enhancement" waits about 5 weeks. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 34
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 299 days
Stale 30+ days: 33
Stale 90+ days: 33

Recent activity

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

Top labels

  • bug (63)
  • enhancement (42)
  • question (3)
  • help wanted (2)
  • invalid (1)
  • wontfix (1)

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Detailed Description

163musiclyrics is a lyrics retrieval and processing tool that fetches and handles lyrics from NetEase Cloud Music and QQ Music.

The tool solves the problem of obtaining lyrics from two major Chinese music streaming platforms and processing them into usable formats. It works by connecting to NetEase Cloud Music and QQ Music services to retrieve lyrics data, then provides processing capabilities to transform that data into structured formats suitable for different use cases, including SRT subtitle format support.

This tool is suited for developers building music applications, media players, or karaoke systems that need to integrate lyrics from NetEase Cloud Music or QQ Music. It works well for projects targeting Chinese music libraries where these two platforms dominate. Anyone considering adoption should note that the tool is language-specific to Chinese music services and requires familiarity with the APIs and data structures of these platforms.

The project shows consistent maintenance with regular updates addressing bugs and feature requests. Development activity demonstrates responsiveness to user issues and steady refinement of the codebase. The maintainer actively incorporates feedback and improvements based on community usage patterns.