# wubx/rust-in-databend

Rust 培养提高计划, 感谢 Databend 社区 支持https://github.com/datafuselabs/databend

Repository: https://github.com/wubx/rust-in-databend
Canonical: https://ross.abutalabs.com/products/rust-in-databend
Language: Rust
License Family: other
Topics: rust, databend
Last push: 2022-03-08T13:53:05+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": 1806, "days_push": 1639, "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 1075, forks 120 (observed 2026-08-28T04:03:29.249308+00:00)

## What it is
A Rust training course ('Rust 培养提高计划') organized by Datafuse Labs with the Rust Chinese community, featuring lecture slides and recorded videos on Bilibili. It teaches Rust programming in the context of the Databend database project.

## Use cases
- learn rust programming from scratch
- find a structured rust course in chinese
- study rust via real database codebase examples
- watch rust lecture recordings and slides
- join a community rust training program

## When to choose
- you want a free, community-driven Rust course with Chinese-language instruction
- you learn well from video lectures paired with slide decks
- you are interested in systems programming through the Databend project

## When to avoid
- you need English-language materials
- you want an interactive coding platform or exercises with automated grading
- you need up-to-date content, as the course materials date from around 2022

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: tutorials, programming-languages, developer-tools
- platform: cross-platform
- tags: rust, course, chinese-community, databend, video-lectures

## Member repositories
- wubx/rust-in-databend (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.249308+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 2026-08-30T06:53:28.807830+00:00, confidence not recorded.
  - readme: https://github.com/wubx/rust-in-databend (fetched 2026-08-28T04:03:29.249308+00:00, sha f1eafc6adba7)
- Data as of 2026-08-30T08:39:29.467469+00:00.