# 0voice/Understanding_in_Rust

【最安全的编程语言】Rust工程师枕边资料，大牛文章，开源框架，官方文档，视频，推荐书籍，学习干货，大牛语录

Repository: https://github.com/0voice/Understanding_in_Rust
Canonical: https://ross.abutalabs.com/products/understanding_in_rust
License Family: other
Topics: rust-language
Last push: 2024-05-20T12:16:42+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": 1824, "days_push": 835, "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 1134, forks 203 (observed 2026-08-28T04:03:43.098884+00:00)

## What it is
A curated Chinese-language collection of Rust learning resources, including beginner guides, recommended books, official documentation links, videos, open-source frameworks, and expert articles. It serves as a reference hub for engineers learning or deepening their knowledge of the Rust programming language.

## Use cases
- find resources to learn rust from scratch
- curated list of rust books and tutorials
- rust learning roadmap for beginners
- best rust videos and articles
- rust open source frameworks to study
- rust environment setup guide

## When to choose
- you are starting to learn Rust and want a curated starting point
- you prefer Chinese-language learning materials
- you want a single index of books, docs, videos, and frameworks

## When to avoid
- you need executable code or a library
- you want up-to-date official documentation rather than a link collection
- you need English-only resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: programming-languages, tutorials, developer-tools
- platform: cross-platform
- tags: rust, awesome-list, learning-materials, curated-resources, chinese-language

## Member repositories
- 0voice/Understanding_in_Rust (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:43.098884+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 2026-08-30T06:36:49.301154+00:00, confidence not recorded.
  - readme: https://github.com/0voice/Understanding_in_Rust (fetched 2026-08-28T04:03:43.098884+00:00, sha 5c63f38be129)
- Data as of 2026-08-30T08:39:29.467469+00:00.