# diasks2/ruby-nlp

A collection of links to Ruby Natural Language Processing (NLP) libraries, tools and software

Repository: https://github.com/diasks2/ruby-nlp
Canonical: https://ross.abutalabs.com/products/ruby-nlp
License Family: other
Last push: 2023-03-05T22:29:08+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4181, "days_push": 1277, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1285, forks 106 (observed 2026-08-28T04:04:14.642595+00:00)

## What it is
A curated awesome-list of Ruby natural language processing libraries, tools, and software, organized into categories like tokenizers, stemmers, language detection, and machine translation. It is a link collection rather than an installable library.

## Use cases
- find ruby nlp libraries
- ruby gem for language detection
- tokenizer or stemmer for ruby
- ruby text summarization tools
- ruby machine translation libraries
- part-of-speech tagger for ruby
- ruby chatbot libraries

## When to choose
- you develop in Ruby and need to discover NLP libraries
- you want a categorized overview of the Ruby NLP ecosystem
- you are evaluating Ruby options for text processing tasks

## When to avoid
- you need an actual NLP implementation rather than links
- you work in Python or another language with richer NLP ecosystems
- you need actively maintained, guaranteed-current recommendations

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, speech-recognition, tts, machine-learning, search-engine, parser
- domain: machine-learning, awesome-lists
- platform: ruby
- tags: awesome-list, ruby-gems, resource-curation, text-processing, natural-language-processing, ruby

## Member repositories
- diasks2/ruby-nlp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.642595+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 2026-08-30T04:56:38.870934+00:00, confidence not recorded.
  - readme: https://github.com/diasks2/ruby-nlp (fetched 2026-08-28T04:04:14.642595+00:00, sha 6f371456c229)
- Data as of 2026-08-30T08:39:29.467469+00:00.