# EstrellaXD/Auto_Bangumi

AutoBangumi - 全自动追番工具

Repository: https://github.com/EstrellaXD/Auto_Bangumi
Canonical: https://ross.abutalabs.com/products/auto_bangumi
Homepage: https://autobangumi.org
Language: Python
License: MIT
License Family: permissive
Topics: anime, docker, python, qbittorrent, auto-downloader, rss-parser
Last push: 2026-08-04T19:11:15+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 95, longevity 100
- inputs: {"age_days": 1583, "days_push": 29, "days_rel": 38, "gap_med": 1.0, "n_releases_24m": 19}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8226, forks 446 (observed 2026-08-28T04:10:19.695329+00:00)

## What it is
AutoBangumi is a self-hosted, RSS-based automated anime downloading and organizing tool. It parses RSS feeds from sites like Mikan Project, sends torrents to qBittorrent or aria2, and renames/organizes files so media libraries like Plex and Jellyfin can scrape them without manual work.

## Use cases
- automatically download new anime episodes from RSS feeds
- organize anime files for Plex and Jellyfin scraping
- rename fan-subtitled anime episodes to media library format
- subscribe to seasonal anime and never miss an episode
- backfill missing episodes from the current season
- manage qBittorrent and aria2 downloads from a web UI
- match anime metadata against TMDB automatically

## When to choose
- you follow seasonal anime via Mikan Project RSS feeds and want fully hands-off downloading
- you run a self-hosted media server (Plex, Jellyfin, Infuse) and want anime files named and structured correctly
- you want a Docker-deployable downloader with a WebUI, TMDB metadata matching, and regex-based release filtering

## When to avoid
- you need a general-purpose RSS downloader for non-anime content
- you want a legal/official streaming source - the project disclaimer notes it fetches anime through unofficial channels
- you need a lightweight CLI-only tool without a web interface or Docker

## Facets
- artifact type: application
- maturity: active
- function: web-scraping, parser, workflow-automation, file-system, http-server, llm-inference
- domain: media, self-hosted, web-development
- platform: python, self-hosted, windows
- tags: anime, bangumi, rss-subscription, qbittorrent, aria2, plex, jellyfin, tmdb, media-server, torrent-downloader, mikan-project, webui, rss, automation, docker, web-server, linux, macos

## Member repositories
- EstrellaXD/Auto_Bangumi (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:19.695329+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:29:31.085995+00:00, confidence not recorded.
  - readme: https://github.com/EstrellaXD/Auto_Bangumi (fetched 2026-08-28T04:10:19.695329+00:00, sha a8bf33e012ca)
  - homepage: https://autobangumi.org (fetched 2026-08-29T08:28:12.101068+00:00, sha 4ce868fdad46)
  - site_page: https://www.autobangumi.org/changelog/3.3.html (fetched 2026-08-29T08:28:12.106931+00:00, sha 8c11f8c6ec89)
  - site_page: https://www.autobangumi.org/faq (fetched 2026-08-29T08:28:12.104703+00:00, sha 37fc4ae020bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.