# doccano/doccano

Open source annotation tool for machine learning practitioners.

Repository: https://github.com/doccano/doccano
Canonical: https://ross.abutalabs.com/products/doccano
Language: Python
License: MIT
License Family: permissive
Topics: natural-language-processing, machine-learning, annotation-tool, python, datasets, dataset, data-labeling, text-annotation, nuxtjs, vue, vuejs, nuxt
Last push: 2026-04-14T21:16:25+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 77, release rhythm 33, longevity 100
- inputs: {"age_days": 3038, "days_push": 141, "days_rel": 234, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10758, forks 1826 (observed 2026-08-28T04:10:44.170445+00:00)

## What it is
Doccano is an open-source, web-based text annotation tool for building labeled datasets for machine learning. It supports text classification, sequence labeling, and sequence-to-sequence tasks with collaborative, multi-user annotation workflows.

## Use cases
- label text data for sentiment analysis
- annotate named entity recognition datasets
- create training data for text classification
- build sequence-to-sequence annotation datasets for summarization
- collaboratively label NLP datasets with a team
- prepare labeled datasets for machine learning models

## When to choose
- you need a self-hosted, collaborative text annotation tool
- you want to quickly create labeled NLP datasets via a web UI
- you need support for classification, NER, and seq2seq annotation in one tool
- you want a RESTful API to integrate annotation into your pipeline

## When to avoid
- you need image, audio, or video annotation rather than text
- you want a fully managed SaaS labeling service without self-hosting
- you need extremely large-scale annotation with advanced workflow automation

## Facets
- artifact type: application
- maturity: active
- function: nlp, machine-learning, data-science, api-framework, self-hosted
- domain: machine-learning, data-science
- platform: python, self-hosted, cross-platform
- tags: annotation-tool, data-labeling, text-annotation, sequence-labeling, text-classification, vue, nuxtjs, django, rest-api, collaborative-annotation, natural-language-processing, data-engineering, docker, web-server

## Member repositories
- doccano/doccano (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:44.170445+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 2026-08-29T17:17:53.695376+00:00, confidence not recorded.
  - readme: https://github.com/doccano/doccano (fetched 2026-08-28T04:10:44.170445+00:00, sha a888526f7155)
  - registry_pypi: https://pypi.org/pypi/doccano/json (fetched 2026-08-29T08:16:48.895360+00:00, sha accddf78e907)
- Data as of 2026-08-30T08:39:29.467469+00:00.