# hadley/mastering-shiny

Mastering Shiny: a book

Repository: https://github.com/hadley/mastering-shiny
Canonical: https://ross.abutalabs.com/products/mastering-shiny
Homepage: https://mastering-shiny.org/
Language: R
License: NOASSERTION
License Family: other
Topics: r, shiny, book
Last push: 2026-02-03T17:06:36+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 65, release rhythm 35, longevity 100
- inputs: {"age_days": 3707, "days_push": 211, "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 1378, forks 564 (observed 2026-08-28T04:04:33.595892+00:00)

## What it is
The source repository for 'Mastering Shiny', an online book by Hadley Wickham teaching how to build web applications with the Shiny framework in R. It is built with bookdown and licensed under CC BY-NC-ND 4.0.

## Use cases
- learn to build shiny web apps in r
- understand reactive programming in shiny
- book on mastering shiny framework
- build data science dashboards with r
- learn shiny app development from scratch
- resources for teaching statistics with shiny

## When to choose
- you want a comprehensive, expert-authored guide to Shiny from basics to advanced reactive programming
- you are an R user or data scientist building interactive web applications without HTML/CSS/JS knowledge

## When to avoid
- you need a framework or tool rather than learning material
- you need a permissively licensed resource you can modify and redistribute, since the text is CC BY-NC-ND

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, web-framework
- domain: data-science, web-development, tutorials
- platform: -
- tags: shiny, bookdown, reactive-programming, r, oreilly, web-server

## Member repositories
- hadley/mastering-shiny (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:33.595892+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 2026-08-30T04:40:22.870179+00:00, confidence not recorded.
  - readme: https://github.com/hadley/mastering-shiny (fetched 2026-08-28T04:04:33.595892+00:00, sha 45fbe367b715)
  - homepage: https://mastering-shiny.org/ (fetched 2026-08-29T11:56:26.312963+00:00, sha 48b9dbd86bae)
- Data as of 2026-08-30T08:39:29.467469+00:00.
