# vinibiavatti1/TuiCss

Text-based user interface CSS library

Repository: https://github.com/vinibiavatti1/TuiCss
Canonical: https://ross.abutalabs.com/products/tuicss
Language: SCSS
License: MIT
License Family: permissive
Topics: css, framework, framework-css, html5, turbo-vision, tui, text-based, ascii, msdos, curses, ncurses, layout, terminal, window
Last push: 2026-06-19T14:10:54+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 8, longevity 100
- inputs: {"age_days": 2912, "days_push": 75, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1968, forks 79 (observed 2026-08-28T04:06:00.629059+00:00)

## What it is
TuiCss is a CSS library for building web applications with text-based, ASCII-style interfaces inspired by MS-DOS programs and the Turbo Vision framework. It provides retro terminal-style components with high-contrast colors and minimal visual effects.

## Use cases
- build a retro MS-DOS style web app
- create a text-based user interface in the browser
- style a web page like an old terminal application
- make an ASCII-themed dashboard with CSS
- recreate Turbo Vision style windows in HTML

## When to choose
- you want a nostalgic DOS/terminal aesthetic for a web app
- you need high-contrast, low-distraction UI components
- you like the Turbo Vision or ncurses look

## When to avoid
- you need a modern, responsive, mobile-friendly design
- you require rich animations or contemporary UI patterns
- your project needs broad accessibility beyond high-contrast text UIs

## Facets
- artifact type: library
- maturity: active
- function: css-framework, ui-components, frontend-framework
- domain: web-development, frontend, web-design
- platform: browser
- tags: tui, ascii, retro, msdos, turbo-vision, scss, terminal-style, web-server, nodejs

## Member repositories
- vinibiavatti1/TuiCss (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:00.629059+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 2026-08-30T03:05:12.656377+00:00, confidence not recorded.
  - readme: https://github.com/vinibiavatti1/TuiCss (fetched 2026-08-28T04:06:00.629059+00:00, sha 7486f8a70357)
- Data as of 2026-08-30T08:39:29.467469+00:00.