# Dhghomon/easy_rust

Rust explained using easy English

Repository: https://github.com/Dhghomon/easy_rust
Canonical: https://ross.abutalabs.com/products/easy_rust
Language: Shell
License: MIT
License Family: permissive
Last push: 2024-05-13T14:20:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2244, "days_push": 842, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8300, forks 386 (observed 2026-08-28T04:10:20.148078+00:00)

## What it is
Easy Rust is an open-source textbook that teaches the Rust programming language using simple, easy English, aimed at non-native English speakers. It is available as a 400+ page mdBook, GitHub repository, and a companion YouTube video series.

## Use cases
- learn Rust with simple English
- find a beginner-friendly Rust tutorial for non-native speakers
- read a free Rust textbook online
- teach a team Rust without difficult English textbooks
- watch Rust lessons as videos
- translate or adapt a Rust learning resource

## When to choose
- you are learning Rust and English is not your first language
- you want a free, approachable introduction to Rust
- you prefer reading simple explanations or watching video lessons

## When to avoid
- you need an authoritative, up-to-date Rust reference
- you want advanced or expert-level Rust material
- you prefer the official Rust book's depth and rigor

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, tutorials, education
- platform: cross-platform
- tags: rust, textbook, easy-english, mdbook, non-native-speakers

## Member repositories
- Dhghomon/easy_rust (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:20.148078+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 2026-08-29T17:28:04.584468+00:00, confidence not recorded.
  - readme: https://github.com/Dhghomon/easy_rust (fetched 2026-08-28T04:10:20.148078+00:00, sha a60cd9f63c75)
- Data as of 2026-08-30T08:39:29.467469+00:00.