# jdkato/prose

:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

Repository: https://github.com/jdkato/prose
Canonical: https://ross.abutalabs.com/products/jdkato-prose
Language: Go
License: NOASSERTION
License Family: other
Topics: prose, nlp, natural-language-processing
Last push: 2026-07-29T12:47:40+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 8, longevity 100
- inputs: {"age_days": 3484, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3085, forks 170 (observed 2026-08-28T04:07:42.107623+00:00)

## What it is
prose is a pure-Go natural language processing library offering tokenization, sentence segmentation, part-of-speech tagging, named-entity extraction, readability scoring, and case conversion. It requires no cgo or external services and supports English text only.

## Use cases
- tokenize text in Go
- extract named entities like people and places from text
- part-of-speech tagging in Go
- split text into sentences
- compute readability scores like Flesch-Kincaid
- convert text to title case in AP or Chicago style

## When to choose
- you need lightweight NLP in a Go program without cgo or external services
- you need byte-accurate offsets for tokens, sentences, and entities
- you want to keep binary size small by importing only the models you need

## When to avoid
- you need multilingual NLP beyond English
- you need state-of-the-art accuracy from large transformer models
- you need languages other than Go

## Facets
- artifact type: library
- maturity: active
- function: nlp, parser
- domain: text-editors
- platform: go, cross-platform
- tags: tokenization, part-of-speech-tagging, named-entity-recognition, readability, pure-go, english-only, natural-language-processing

## Member repositories
- jdkato/prose (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:42.107623+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 2026-08-30T07:27:39.805366+00:00, confidence not recorded.
  - readme: https://github.com/jdkato/prose (fetched 2026-08-28T04:07:42.107623+00:00, sha 8bc9d7e28309)
- Data as of 2026-08-30T08:39:29.467469+00:00.