# rstudio/reticulate

R Interface to Python

Repository: https://github.com/rstudio/reticulate
Canonical: https://ross.abutalabs.com/products/reticulate
Homepage: https://rstudio.github.io/reticulate
Language: R
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T18:29:02+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 69, longevity 100
- inputs: {"age_days": 3495, "days_push": 7, "days_rel": 131, "gap_med": 79.5, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1757, forks 348 (observed 2026-08-28T04:05:32.268079+00:00)

## What it is
reticulate is an R package that embeds a Python session inside an R session, enabling seamless interoperability between the two languages. It supports calling Python from R, translating objects like Pandas data frames and NumPy arrays, and binding to virtual or Conda environments.

## Use cases
- call python code from r
- use pandas dataframes in r
- run python scripts inside an r session
- use numpy arrays from r
- mix r and python in r markdown notebooks
- manage python virtual environments from r
- use python machine learning libraries in an r workflow

## When to choose
- you are an R developer who needs Python libraries or scripts in your workflow
- your data science team uses both R and Python and needs shared objects between them
- you want Python chunks in R Markdown with bi-directional object sharing
- you need to bind R to specific Python versions, virtualenvs, or Conda environments

## When to avoid
- you work purely in Python and never touch R
- you need to call R from Python rather than the other way around
- you need a lightweight solution without embedding a full Python interpreter in your R session

## Facets
- artifact type: library
- maturity: stable
- function: sdk, interpreter, data-science
- domain: data-science, developer-tools, cross-platform
- platform: python, cross-platform, cli
- tags: r, python-interop, r-package, language-bridge, rmarkdown, conda, virtualenv

## Member repositories
- rstudio/reticulate (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.268079+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 2026-08-30T03:27:40.241839+00:00, confidence not recorded.
  - readme: https://github.com/rstudio/reticulate (fetched 2026-08-28T04:05:32.268079+00:00, sha 882060497ab0)
  - homepage: https://rstudio.github.io/reticulate (fetched 2026-08-29T11:05:47.016670+00:00, sha cfd187688d40)
- Data as of 2026-08-30T08:39:29.467469+00:00.