# atomiechen/THU-PPT-Theme

清华主题PPT模板

Repository: https://github.com/atomiechen/THU-PPT-Theme
Canonical: https://ross.abutalabs.com/products/thu-ppt-theme
Language: Python
License: NOASSERTION
License Family: other
Topics: ppt, pptx, tsinghua
Last push: 2025-11-16T13:48:51+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 25, longevity 100
- inputs: {"age_days": 2273, "days_push": 290, "days_rel": 290, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1693, forks 107 (observed 2026-08-28T04:05:23.461383+00:00)

## What it is
A collection of minimalist Tsinghua University-themed PowerPoint (.pptx) templates built via slide masters, with variants in 16:9 and 4:3. It includes a Python conversion script to make the templates compatible with Pandoc for generating presentations from Markdown.

## Use cases
- create a Tsinghua-themed thesis defense presentation
- apply a university-branded slide master to a new PowerPoint deck
- generate a pptx presentation from Markdown with Pandoc using a themed template
- find a clean minimal academic PPT template instead of Beamer
- customize slide layouts by editing the slide master

## When to choose
- you need a Tsinghua-branded presentation for a defense or academic talk
- you want WYSIWYG PowerPoint editing rather than LaTeX Beamer
- you want to generate slides from Markdown via Pandoc with a themed reference doc

## When to avoid
- you need a non-Tsinghua or corporate branding theme
- you require a permissive license for commercial use (CC BY-NC-SA is non-commercial)
- you need Google Slides or Keynote native templates

## Facets
- artifact type: application
- maturity: active
- function: templating, documentation
- domain: education, developer-tools, documentation
- platform: cross-platform
- tags: pptx, presentation-template, tsinghua, pandoc, slide-master, thesis-defense

## Member repositories
- atomiechen/THU-PPT-Theme (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:23.461383+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 2026-08-30T03:38:10.915274+00:00, confidence not recorded.
  - readme: https://github.com/atomiechen/THU-PPT-Theme (fetched 2026-08-28T04:05:23.461383+00:00, sha 3be807fd93ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.