# SciRuby/sciruby

Tools for scientific computation in Ruby

Repository: https://github.com/SciRuby/sciruby
Canonical: https://ross.abutalabs.com/products/sciruby
Homepage: http://gems.sciruby.com
Language: Ruby
License: NOASSERTION
License Family: other
Last push: 2020-02-28T08:20:45+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": 5718, "days_push": 2378, "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 1002, forks 77 (observed 2026-09-03T02:15:08.128020+00:00)

## What it is
SciRuby is a meta gem for Ruby that bundles a collection of scientific computing gems, including numeric libraries like NMatrix and visualization tools like Nyaplot. It also integrates with IRuby to provide Jupyter-style notebook support for Ruby.

## Use cases
- do scientific computing in ruby
- install a bundle of ruby numeric and visualization libraries
- run jupyter-style notebooks with ruby via iruby
- plot scatter charts and data visualizations in ruby
- get started with data science in ruby

## When to choose
- you want a one-stop meta gem for ruby scientific libraries
- you work in ruby and need numeric arrays, plotting, and notebooks
- you want to explore the ruby scientific gem ecosystem quickly

## When to avoid
- you need actively maintained, cutting-edge scientific computing tools
- you work primarily in python and can use numpy/scipy directly
- you need guaranteed long-term support, as releases have stalled since 2020

## Facets
- artifact type: library
- maturity: maintenance
- function: data-science, data-visualization, math
- domain: data-science, developer-tools
- platform: ruby, cross-platform
- tags: meta-gem, scientific-computing, iruby-notebook, numerical-computing

## Member repositories
- SciRuby/sciruby (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:08.128020+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 2026-08-30T07:13:56.761878+00:00, confidence not recorded.
  - readme: https://github.com/SciRuby/sciruby (fetched 2026-09-03T02:15:08.128020+00:00, sha 5927a5ae9dec)
- Data as of 2026-08-30T08:39:29.467469+00:00.