# whutug/whu-thesis

武汉大学毕业论文 LaTeX 模版 2025

Repository: https://github.com/whutug/whu-thesis
Canonical: https://ross.abutalabs.com/products/whu-thesis
Language: TeX
License: LPPL-1.3c
License Family: other
Topics: latex, thesis, template, overleaf, university
Last push: 2025-05-27T03:24:27+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 23, release rhythm 28, longevity 100
- inputs: {"age_days": 2725, "days_push": 463, "days_rel": 534, "gap_med": 68, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1343, forks 218 (observed 2026-08-28T04:04:26.421770+00:00)

## What it is
A LaTeX thesis template for Wuhan University supporting undergraduate, master's, and doctoral dissertations. It provides a document class, modules, demo files, and a user manual, and works with local TeX distributions or online platforms like Overleaf.

## Use cases
- write a Wuhan University undergraduate thesis in LaTeX
- format a master's dissertation to WHU requirements
- compile a PhD thesis on Overleaf
- typeset a Chinese academic thesis PDF
- start a graduation paper from a ready-made template

## When to choose
- you are a WHU student writing a thesis and want LaTeX formatting
- you want to compile your thesis locally or on Overleaf
- you need a maintained template with documentation and examples

## When to avoid
- your thesis must pass official format review without risk, since the template is not school-endorsed
- you need a stable API, as the template is still under development
- you are not a Wuhan University student

## Facets
- artifact type: learning-resource
- maturity: active
- function: templating, documentation
- domain: education, documentation
- platform: cross-platform, cli
- tags: latex, thesis-template, wuhan-university, overleaf, academic-writing, boilerplate

## Member repositories
- whutug/whu-thesis (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.421770+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 2026-08-30T08:33:14.959654+00:00, confidence not recorded.
  - readme: https://github.com/whutug/whu-thesis (fetched 2026-08-28T04:04:26.421770+00:00, sha 6512b11ecb74)
- Data as of 2026-08-30T08:39:29.467469+00:00.