gxtrobot/bustag

Health v2 · maintenance only

Adoption not part of the score

3814 stars · 563 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Bustag is a self-hosted web application that periodically scrapes new media title (番号) listings, lets users tag items as liked or disliked, and trains a machine learning model from those tags. Once trained, the model automatically predicts and recommends new items matching the user's preferences, filtering out unwanted ones.

Use cases

• automatically filter new media releases by personal taste
• train a recommendation model from my own like/dislike tags
• scrape and track latest title listings on a schedule
• run a personal recommendation service in docker on a NAS
• manage and tag a local media file collection

When to choose

• you want a self-hosted, tag-driven recommendation system with a web UI
• you prefer docker or portable binaries over configuring a python project
• you want scheduled scraping plus ML-based prediction in one tool

When to avoid

• you need a production-grade or actively maintained project
• you want a general-purpose recommendation engine unrelated to this content domain
• you cannot use docker, python, or the provided portable builds

Facets

application · maturity maintenance

machine-learning web-scraping self-hosted http-server machine-learning web-development self-hosted media self-hosted windows python recommendation-system tagging crawler model-training adult-content docker-app green-portable recommendation automation docker web-server macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gxtrobot/bustag")