xiaoyadev/xiaoya-alist

小雅Alist的相关周边

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 7th, 2026
Created on January 5th, 2024
Open Issues & Pull Requests: 129 (+0)
GitHub issues: Enabled
Number of forks: 1,190
Total Stargazers: 8,448 (+1)
Total Subscribers: 40 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 days
Mean response time: 27.2 days
90th percentile: 84.3 days
Tracked items: 129

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. Only 1% of issues opened in the past year have been closed. Three people close 75% of everything that gets resolved.

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Issue Activity (beta)

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Detailed Description

Xiaoya-alist is a collection of peripheral tools and utilities for Alist, a file listing and sharing application, primarily distributed as Docker containers and shell scripts.

The project provides an integrated installation script that bundles setup for multiple related software components. It addresses the need for streamlined deployment and management of a media server ecosystem by offering a consolidated installation approach rather than requiring separate setup of individual tools. The main entry point is a shell script menu system that guides users through installation and configuration of various components.

The tool suits users building media server infrastructure who want to deploy multiple interconnected services together. The project maintains compatibility across different processor architectures, with most components supporting x86-64 and ARM64 platforms, though some specialized packages like Emby and Jellyfin bundles are limited to x86-64 and ARM64. The ecosystem includes metadata crawlers, proxy containers, scheduled task runners, and cleaning utilities designed to work in concert with the core Alist application.

Development activity shows ongoing maintenance with regular updates to the compatibility matrix across different system architectures and container variants. The project maintains multiple Docker image variants to support different use cases and deployment scenarios. Documentation includes detailed compatibility testing results that are actively updated to reflect which components work on which platforms. The codebase includes both deprecated functionality that is no longer maintained and active features, with clear labeling to guide users away from obsolete options.