Md2Docx

C+ 76 completed
Other
desktop_app / json · tiny
48
Files
14,351
LOC
4
Frameworks
9
Languages

Pipeline State

completed
Run ID
#1542028
Phase
done
Progress
0%
Started
2026-04-16 21:10:57
Finished
2026-04-16 21:10:57
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
54.07
Framework unique
Isolation
Last stage change
2026-05-10 03:34:46
Deduplication group #48465
Member of a group with 34 similar repo(s) · framework reactcanonical #1220301 view group →
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)

AI Prompt

Create a cross-platform desktop application using Tauri, React, and TypeScript that converts Markdown to Word (OMML). The app needs a clean UI with an editor/preview toggle and real-time Markdown rendering powered by marked and KaTeX. Crucially, it must support converting LaTeX formulas, handling both inline (`$formula$`) and block (`$$formula$$`) formats into native OMML. The conversion process should utilize an embedded Pandoc engine for the backend logic. Include setup for E2E testing with Playwright and unit testing with Vitest.
typescript react tauri markdown word-conversion pandoc latex desktop-app vite playwright
Generated by gemma4:latest

Catalog Information

Create a cross-platform desktop application using Tauri, React, and TypeScript that converts Markdown to Word (OMML). The app needs a clean UI with an editor/preview toggle and real-time Markdown rendering powered by marked and KaTeX. Crucially, it must support converting LaTeX formulas, handling both inline ($formula$) and block ($$formula$$) formats into native OMML. The conversion process should utilize an embedded Pandoc engine for the backend logic. Include setup for E2E testing with Pl

Tags

typescript react tauri markdown word-conversion pandoc latex desktop-app vite playwright

Quality Score

C+
75.8/100
Structure
68
Code Quality
100
Documentation
47
Testing
65
Practices
69
Security
100
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (eslint)
  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors

Recommendations

  • Add a LICENSE file (MIT recommended for open source)

Languages

json
79.0%
markdown
6.1%
typescript
6.1%
css
3.0%
yaml
2.8%
rust
1.9%
javascript
0.6%
toml
0.4%
html
0.1%

Frameworks

React Tauri Vitest Vite

Symbols

variable24
function16
interface5
struct4

Quality Timeline

1 quality score recorded.

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