# jhc13/taggui

Tag manager and captioner for image datasets

Repository: https://github.com/jhc13/taggui
Canonical: https://ross.abutalabs.com/products/taggui
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: image-captioning, image-tagging, pyside6, stable-diffusion, tag-manager, llava, cogvlm, florence-2
Last push: 2025-10-11T21:54:09+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 46, release rhythm 39, longevity 91
- inputs: {"age_days": 1274, "days_push": 326, "days_rel": 326, "gap_med": 79.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1346, forks 82 (observed 2026-08-28T04:04:27.390379+00:00)

## What it is
TagGUI is a cross-platform desktop application for quickly adding and editing image tags and captions, aimed at creators of image datasets for generative AI models. It offers keyboard-friendly tagging, batch tag operations, and automatic caption generation using models like LLaVA, CogVLM, and Florence-2.

## Use cases
- tag images for stable diffusion training datasets
- auto-generate captions for image datasets
- batch rename and delete tags across images
- edit image caption text files quickly with keyboard shortcuts
- prepare LoRA training datasets with tags
- count stable diffusion tokens while tagging

## When to choose
- you are building image datasets for generative AI models like Stable Diffusion
- you need fast, keyboard-driven tagging with autocomplete
- you want local automatic captioning with vision-language models
- you need batch tag operations and image filtering

## When to avoid
- you need a macOS-native release (only manual installation is supported)
- you want cloud-based or API captioning services
- you need video or audio annotation
- you require collaborative multi-user tagging

## Facets
- artifact type: application
- maturity: active
- function: image-processing, machine-learning, gui, nlp
- domain: image-processing, machine-learning, artificial-intelligence, desktop-applications
- platform: windows, python, cross-platform
- tags: image-captioning, image-tagging, stable-diffusion, dataset-preparation, pyside6, llava, cogvlm, florence-2, tag-editor, linux, desktop

## Member repositories
- jhc13/taggui (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.390379+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 2026-08-30T04:42:42.078576+00:00, confidence not recorded.
  - readme: https://github.com/jhc13/taggui (fetched 2026-08-28T04:04:27.390379+00:00, sha e8f09f4b23f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.