# brson/rust-anthology

Learn Rust from the best

Repository: https://github.com/brson/rust-anthology
Canonical: https://ross.abutalabs.com/products/rust-anthology
Language: Shell
License Family: other
Last push: 2024-01-30T09:30:11+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3734, "days_push": 946, "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 1519, forks 50 (observed 2026-08-28T04:04:57.623288+00:00)

## What it is
A curated collection of the best short-form writing about the Rust programming language, compiled into a single book using mdbook. It gathers essays and documentation from various authors under one consistent, tested publication.

## Use cases
- learn rust from curated articles
- find the best rust blog posts in one place
- read a compiled book of rust writing
- discover quality rust documentation
- get a reading list for learning rust

## When to choose
- you want a curated, single-volume collection of high-quality Rust writing
- you prefer learning from essays and blog posts rather than official docs
- you want to discover excellent Rust authors

## When to avoid
- you need up-to-date documentation covering modern Rust features, since the project is only lightly maintained since 2020
- you need official or comprehensive language reference material
- you need a structured tutorial or course

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, markdown
- domain: education, programming-languages, documentation, tutorials
- platform: cross-platform
- tags: rust, curated-reading, mdbook, anthology, book

## Member repositories
- brson/rust-anthology (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.623288+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 2026-08-30T04:31:57.269729+00:00, confidence not recorded.
  - readme: https://github.com/brson/rust-anthology (fetched 2026-08-28T04:04:57.623288+00:00, sha 00e79fc69326)
- Data as of 2026-08-30T08:39:29.467469+00:00.