guohuiyuan/go-music-dl

一个基于 Go 语言的全网音乐搜索与下载工具。支持 CLI 命令行与 Web 服务双模式,内置网易云、QQ、酷狗、Bilibili、汽水音乐等 10+ 个主流平台,支持多源并发搜索与无损音质解析。music-dl交流群:755087923

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 16th, 2026
Created on January 18th, 2026
Open Issues & Pull Requests: 35 (+0)
GitHub issues: Enabled
Number of forks: 444
Total Stargazers: 4,602 (+0)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.4 hours
Mean response time: 7.0 days
90th percentile: 13.3 days
Tracked items: 66

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How this project is maintained

About 12% of issues opened in the past year have never received a reply. 97% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 55% of issues opened in the past year have been closed. Three people close 78% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 34
New in 7 days: 10
Closed in 7 days: 0
Avg open age: 68 days
Stale 30+ days: 18
Stale 90+ days: 8

Recent activity

Opened in 7 days: 9
Closed in 7 days: 0
Comments in 7 days: 2
Events in 7 days: 2

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Detailed Description

go-music-dl is a music search and download tool built in Go that operates in both command-line and web service modes.

The tool addresses the fragmentation of music across multiple streaming platforms by aggregating search and download capabilities across more than ten services including NetEase Cloud Music, QQ Music, KuGou, Bilibili, and others. It performs concurrent searches across multiple sources simultaneously and can parse lossless audio quality formats, allowing users to find and retrieve music from whichever platform offers the best availability or quality for a given track.

The project suits developers and users who need programmatic or interactive access to music discovery and downloading across Chinese music platforms. It works both as a standalone command-line utility for scripting and batch operations, and as a web service for integration into larger applications. The dual-mode architecture makes it flexible for different deployment scenarios, whether embedded in automation workflows or exposed as a networked service.

Development activity shows consistent engagement with the codebase through regular commits addressing bug fixes and feature improvements. The project maintains active responsiveness to user issues and pull requests, indicating ongoing maintenance. Documentation and code organization reflect attention to usability for both end users and contributors looking to extend platform support or functionality.