# matiassingers/awesome-readme

A curated list of awesome READMEs

Repository: https://github.com/matiassingers/awesome-readme
Canonical: https://ross.abutalabs.com/products/awesome-readme
License Family: other
Topics: awesome-list, awesome, list, readme
Last push: 2026-08-20T19:50:09+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 4244, "days_push": 13, "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 21376, forks 3959 (observed 2026-08-28T04:11:31.663855+00:00)

## What it is
A curated list of exemplary README files from open-source projects, showcasing best practices for project documentation. It serves as inspiration and a reference for writing clear, attractive READMEs.

## Use cases
- find examples of well-written READMEs
- learn how to structure a project README
- get inspiration for open-source project documentation
- see best practices for badges, screenshots, and TOCs in READMEs
- improve my repository's documentation quality

## When to choose
- you are writing or improving a README for an open-source project
- you want curated examples of documentation patterns
- you need inspiration for README structure and formatting

## When to avoid
- you need a tool that generates or lints READMEs automatically
- you want a style guide with strict rules rather than examples
- you need documentation tooling for non-README docs

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, markdown
- domain: documentation, developer-tools, awesome-lists
- platform: -
- tags: awesome-list, readme, curated-list, open-source-documentation, web-server

## Member repositories
- matiassingers/awesome-readme (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:31.663855+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 2026-08-29T16:58:07.372934+00:00, confidence not recorded.
  - readme: https://github.com/matiassingers/awesome-readme (fetched 2026-08-28T04:11:31.663855+00:00, sha cd8fd467c4fa)
- Data as of 2026-08-30T08:39:29.467469+00:00.