wushuo894/ani-rss

基于RSS自动追番、订阅、下载、刮削、洗版

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Summary Information

Updated 31 minutes ago
Added to GitGenius on September 19th, 2026
Created on July 22nd, 2024
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 197
Total Stargazers: 3,521 (+0)
Total Subscribers: 4 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.3 hours
Mean response time: 2.6 days
90th percentile: 17.4 hours
Tracked items: 307

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 99% of issues opened in the past year have since been closed. Three people close 88% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 1
New in 7 days: 4
Closed in 7 days: 4
Avg open age: 679 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 3
Closed in 7 days: 3
Comments in 7 days: 1
Events in 7 days: 9

Top labels

  • bug (143)
  • feature (117)
  • 不处理 (1)
  • 文档 (1)
  • 无法复现 (1)
  • 重复 (1)

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Detailed Description

ANI-RSS is an RSS-based automation tool for subscribing to, downloading, and managing anime series.

The tool solves the problem of manually tracking and downloading anime episodes by automating the entire workflow through RSS feeds. It monitors RSS sources for new anime releases, automatically downloads matching torrents via integrated torrent clients like qBittorrent, Transmission, or Aria2, and performs metadata scraping and file organization. The system works by parsing RSS feeds, matching episodes against user-defined subscription rules, and pushing download tasks to the user's chosen torrent application.

The tool suits users running network-attached storage systems or home servers who want hands-off anime episode management. It works best for those comfortable with self-hosting and configuring torrent clients. The project is designed for deployment via Docker, making it accessible to users without deep infrastructure knowledge. Anyone adopting it should understand that the tool itself is a neutral technical utility that passes torrent links to download clients; users bear full responsibility for ensuring their downloads comply with local copyright and network laws.

Development activity shows consistent engagement with the project. The maintainer actively maintains documentation and deployment guides. The project explicitly declines pull requests generated entirely by artificial intelligence, indicating a preference for human-authored contributions. The tool supports community discussion through GitHub discussions, as evidenced by public conversations about project policies. Deployment examples and integration guides have been documented by community members across multiple platforms.