# qinwf/awesome-R

A curated list of awesome R packages, frameworks and software.

Repository: https://github.com/qinwf/awesome-R
Canonical: https://ross.abutalabs.com/products/awesome-r
Language: R
License Family: other
Topics: r, data-science, data-analysis, awesome, list, awesome-list, rstats
Last push: 2025-09-18T16:46:19+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 42, release rhythm 35, longevity 100
- inputs: {"age_days": 4428, "days_push": 349, "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 6507, forks 1516 (observed 2026-08-28T04:09:44.764850+00:00)

## What it is
A curated list of R packages, frameworks, tools, and learning resources organized by category. It serves as a discovery index for the R ecosystem, covering IDEs, data manipulation, machine learning, visualization, and more.

## Use cases
- find the best R packages for data manipulation
- discover R libraries for machine learning
- learn where to start with R programming
- find R resources for bioinformatics
- compare R IDEs and development tools
- locate R packages for data visualization

## When to choose
- you work in R and want a vetted index of popular packages
- you are starting with R and need curated learning resources
- you want to discover tools across the R ecosystem quickly

## When to avoid
- you need a runnable tool or library rather than a link list
- you need up-to-date package documentation rather than curated pointers

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, data-science, documentation
- domain: data-science, awesome-lists, programming-languages, developer-tools
- platform: cross-platform
- tags: awesome-list, r, rstats, curated-list, packages

## Member repositories
- qinwf/awesome-R (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:44.764850+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 2026-08-29T17:44:27.761891+00:00, confidence not recorded.
  - readme: https://github.com/qinwf/awesome-R (fetched 2026-08-28T04:09:44.764850+00:00, sha 589cb9c59035)
- Data as of 2026-08-30T08:39:29.467469+00:00.