reprex is an R package (from the tidyverse / Posit ecosystem) that helps users make reproducible examples (reprexes) of R code: self-contained, shareable, minimal examples capturing an issue or showing desired behavior. It formats code and its output nicely (often using Markdown or syntax appropriate to posting on forums, GitHub, StackOverflow etc.), handles dependencies, session info, etc. The goal is to make debugging, asking for help, or demonstrating code easier through rigorous reproducible examples. Get slightly different Markdown, optimized for Slack messages. Handles dependencies (e.g. load required libraries inside the reprex) so that code example is self-contained. Captures session information (R version, package versions etc.) so that context is preserved when sharing.

Features

  • Takes R code input and produces a ‘reprex’ that captures both code and output in a sharable format (Markdown, plain text, etc.)
  • Captures session information (R version, package versions etc.) so that context is preserved when sharing
  • Handles dependencies (e.g. load required libraries inside the reprex) so that code example is self-contained
  • Supports various output targets: markdown, GitHub, StackOverflow formatting etc.
  • Helps identify minimal reproducible cases by stripping out unnecessary code sections etc. encourages good practice of minimal examples
  • Useful for both interactive sessions and automated scripting; supports clipboard, saving output files etc.

Project Samples

Project Activity

See All Activity >

Categories

Education

License

MIT License

Follow reprex

reprex Web Site

Other Useful Business Software
Gemini 3 and 200+ AI Models on One Platform Icon
Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build generative AI apps with Vertex AI. Switch between models without switching platforms.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of reprex!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

R

Related Categories

R Education Software

Registered

2025-09-12