# ctjhoa/rust-learning

A bunch of links to blog posts, articles, videos, etc for learning Rust

Repository: https://github.com/ctjhoa/rust-learning
Canonical: https://ross.abutalabs.com/products/rust-learning
License Family: other
Topics: rust, blog-article, video, tutorial, book, learn, teaching, hacktoberfest
Last push: 2026-05-29T08:20:56+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 4136, "days_push": 96, "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 12232, forks 817 (observed 2026-08-28T04:10:52.104089+00:00)

## What it is
A curated list of links to blog posts, articles, videos, books, podcasts, and tutorials for learning the Rust programming language. It is a community-maintained awesome-list style resource, with entries vetted for substantive content.

## Use cases
- find resources to learn Rust
- curated list of Rust tutorials and books
- videos and podcasts about Rust
- best practices and style guides for Rust
- deep dives into Rust internals and unsafe Rust
- compare Rust with other languages

## When to choose
- you are starting to learn Rust and want vetted learning materials
- you want a single index of high-quality Rust articles, books, and videos
- you need topic-specific resources like async, lifetimes, or FFI

## When to avoid
- you need official documentation rather than community links
- you want interactive exercises or a structured course rather than a link list

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: programming-languages, tutorials, awesome-lists, education
- platform: cross-platform
- tags: rust, curated-links, awesome-list, tutorials, books, videos, podcasts

## Member repositories
- ctjhoa/rust-learning (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:52.104089+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 2026-08-29T17:14:14.961635+00:00, confidence not recorded.
  - readme: https://github.com/ctjhoa/rust-learning (fetched 2026-08-28T04:10:52.104089+00:00, sha 984069d3be2b)
- Data as of 2026-08-30T08:39:29.467469+00:00.