# UniversalDataTool/universal-data-tool

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Repository: https://github.com/UniversalDataTool/universal-data-tool
Canonical: https://ross.abutalabs.com/products/universal-data-tool
Homepage: https://universaldatatool.com
Language: JavaScript
License: MIT
License Family: permissive
Topics: computer-vision, annotate-images, entity-recognition, desktop, classification, dataset, annotation-tool, deep-learning, text-annotation, named-entity-recognition, text-labeling, semantic-segmentation, image-segmentation, image-labeling-tool, machine-learning, image-annotation, csv, labeling, labeling-tool, hacktoberfest
Last push: 2025-03-15T02:09:07+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 11, release rhythm 8, longevity 100
- inputs: {"age_days": 2610, "days_push": 537, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2072, forks 201 (observed 2026-08-28T04:06:10.489789+00:00)

## What it is
Universal Data Tool is a web and desktop application for collaboratively annotating images, text, audio, and documents, supporting tasks like image segmentation, classification, and named entity recognition. It uses an extensible .udt.json/.udt.csv format and can be run in a browser, downloaded as a desktop app, or self-hosted on-premise.

## Use cases
- annotate images for object detection and segmentation
- label text for named entity recognition
- create image classification training datasets
- label audio data for machine learning
- collaboratively label datasets with a team
- convert and edit datasets in udt.json format

## When to choose
- you need a free, open-source labeling tool covering multiple data types
- you want a desktop app or self-hosted option for data annotation
- you need collaborative dataset labeling with a standard file format

## When to avoid
- you need a fully managed, enterprise-grade annotation platform with advanced QA workflows
- your project requires very large-scale distributed labeling pipelines with integrations your stack depends on

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, nlp, data-science, gui
- domain: machine-learning, computer-vision, data-science
- platform: windows, cross-platform
- tags: data-annotation, labeling-tool, image-segmentation, named-entity-recognition, text-annotation, audio-annotation, dataset-creation, udt-format, natural-language-processing, web-server, linux, macos, desktop, javascript

## Member repositories
- UniversalDataTool/universal-data-tool (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.489789+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 2026-08-30T02:56:40.816265+00:00, confidence not recorded.
  - readme: https://github.com/UniversalDataTool/universal-data-tool (fetched 2026-08-28T04:06:10.489789+00:00, sha ca9a0f5a0335)
  - homepage: https://universaldatatool.com (fetched 2026-08-29T10:37:04.252570+00:00, sha fd9c15aa2385)
- Data as of 2026-08-30T08:39:29.467469+00:00.