# arbox/machine-learning-with-ruby

Curated list: Resources for machine learning in Ruby

Repository: https://github.com/arbox/machine-learning-with-ruby
Canonical: https://ross.abutalabs.com/products/machine-learning-with-ruby
Language: Ruby
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, list, ruby, ml, machine-learning, ruby-gem, rubyml, rubynlp
Last push: 2024-12-26T17:58:24+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": 3422, "days_push": 615, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2222, forks 183 (observed 2026-08-28T04:06:27.688764+00:00)

## What it is
A curated awesome-list of machine learning resources for the Ruby programming language, including libraries, tutorials, data sources, books, and presentations. It is maintained as a community-driven reference covering frameworks, neural networks, deep learning, and other ML subfields in Ruby.

## Use cases
- find machine learning libraries for Ruby
- learn machine learning with Ruby tutorials
- discover Ruby gems for neural networks and deep learning
- find NLP and data science resources for Ruby
- locate books and talks about ML in Ruby
- compare Ruby ML frameworks for a project

## When to choose
- you are a Ruby developer looking for ML libraries or learning materials
- you want a curated starting point for machine learning in the Ruby ecosystem
- you need links to tutorials, books, and community resources for RubyML

## When to avoid
- you need production-grade ML tooling with active development, since Python ecosystems are far richer
- you want a library or framework rather than a list of links
- your project is not in Ruby

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, nlp, data-science, developer-tools
- domain: machine-learning, awesome-lists, tutorials, data-science
- platform: ruby
- tags: awesome-list, curated-list, ruby-ml, resources, ruby-gems, natural-language-processing

## Member repositories
- arbox/machine-learning-with-ruby (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.688764+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 2026-08-30T02:45:45.410037+00:00, confidence not recorded.
  - readme: https://github.com/arbox/machine-learning-with-ruby (fetched 2026-08-28T04:06:27.688764+00:00, sha c9d56c33e8d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.