# tidyverse/readr

Read flat files (csv, tsv, fwf) into R

Repository: https://github.com/tidyverse/readr
Canonical: https://ross.abutalabs.com/products/readr
Homepage: https://readr.tidyverse.org
Language: R
License: NOASSERTION
License Family: other
Topics: r, csv, fwf, parsing
Last push: 2026-04-10T16:35:05+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 76, release rhythm 47, longevity 100
- inputs: {"age_days": 4787, "days_push": 145, "days_rel": 195, "gap_med": 96, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1038, forks 295 (observed 2026-08-28T04:03:19.798166+00:00)

## What it is
readr is an R package from the tidyverse for fast, friendly reading of rectangular data from delimited files such as CSV, TSV, fixed-width, and whitespace-separated formats. It parses messy real-world data types and reports parsing problems informatively.

## Use cases
- read a csv file into an R data frame
- parse tab-separated values in R
- import fixed-width text files
- load web log files into R
- write data frames to csv with consistent formatting
- diagnose parsing problems when importing flat files

## When to choose
- you work in R and need fast, reliable CSV/TSV/fixed-width file import
- you want informative parsing problem reports instead of silent coercion
- you are already using the tidyverse ecosystem

## When to avoid
- you need to read Excel, JSON, or database data (use readxl, lite, DBI)
- you need extremely large-scale out-of-memory processing (consider arrow or vroom-style chunking)
- you are not working in R

## Facets
- artifact type: library
- maturity: stable
- function: parser, csv, file-system, data-science
- domain: data-science, files, developer-tools
- platform: cross-platform
- tags: tidyverse, r-package, data-import, delimited-files, fixed-width-files, r

## Member repositories
- tidyverse/readr (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:19.798166+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 2026-08-30T07:04:19.449401+00:00, confidence not recorded.
  - readme: https://github.com/tidyverse/readr (fetched 2026-08-28T04:03:19.798166+00:00, sha 7c59801c29fb)
  - homepage: https://readr.tidyverse.org (fetched 2026-08-29T13:05:03.008510+00:00, sha 766acc6e335c)
  - site_page: https://readr.tidyverse.org/news/index.html (fetched 2026-08-29T13:05:03.018257+00:00, sha 5225afa3b3f3)
  - site_page: https://readr.tidyverse.org/authors.html (fetched 2026-08-29T13:05:03.022135+00:00, sha bdb306111217)
- Data as of 2026-08-30T08:39:29.467469+00:00.