jdkato/prose
:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. observed · 2026-08-28
Health v2 · maintenance only
66/100
- Activity 95
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3484
- days_rel: n/a
- days_push: 35
- n_releases_24m: 0
Adoption not part of the score
3085 stars · 170 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity active
nlp parser text-editors go cross-platform tokenization part-of-speech-tagging named-entity-recognition readability pure-go english-only natural-language-processing
1 source
- readme: https://github.com/jdkato/prose · fetched 2026-08-28 · 8bc9d7e28309
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jdkato/prose | main | 66 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem