# kiukotsu/ucore

清华大学操作系统课程实验 (OS Kernel Labs)

Repository: https://github.com/kiukotsu/ucore
Canonical: https://ross.abutalabs.com/products/ucore
Language: C
License: GPL-2.0
License Family: copyleft
Last push: 2022-08-26T02:51:27+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": 3943, "days_push": 1468, "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 2252, forks 452 (observed 2026-08-28T04:06:31.039105+00:00)

## What it is
uCore OS Labs is the set of lab exercises for Tsinghua University's undergraduate operating systems course, guiding students through building an x86 teaching kernel in C across eight labs. It includes lab code, guides, and exercises covering boot, memory management, threads, scheduling, synchronization, and file systems.

## Use cases
- learn operating system internals by implementing a kernel
- practice memory management and paging in a small OS
- study kernel thread and process scheduling implementation
- complete university OS course lab assignments
- understand synchronization and file system design hands-on

## When to choose
- you want hands-on kernel programming practice in C
- you are following a structured OS course curriculum
- you prefer small teaching kernels over huge production codebases

## When to avoid
- you need a production-ready or modern multi-arch kernel
- you want a maintained project with recent releases
- you prefer Rust or non-x86 teaching OSes

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: interpreter, developer-tools, testing
- domain: operating-systems, education, tutorials
- platform: windows
- tags: operating-system-kernel, teaching-labs, x86, tsinghua-university, kernel-development, qemu, course-exercises, linux, macos

## Member repositories
- kiukotsu/ucore (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:31.039105+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 2026-08-30T02:43:49.257097+00:00, confidence not recorded.
  - readme: https://github.com/kiukotsu/ucore (fetched 2026-08-28T04:06:31.039105+00:00, sha 18af960a6b9d)
- Data as of 2026-08-30T08:39:29.467469+00:00.