# duilib/duilib

Repository: https://github.com/duilib/duilib
Canonical: https://ross.abutalabs.com/products/duilib
Language: C++
License: MIT
License Family: permissive
Last push: 2026-03-04T02:51:38+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 35, longevity 100
- inputs: {"age_days": 4633, "days_push": 182, "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 5955, forks 1980 (observed 2026-08-28T04:09:33.691384+00:00)

## What it is
Duilib is a free, open-source DirectUI interface library for building Windows desktop application UIs in C++. It features a simple, extensible design with XML-based layouts, animation, and rendering engine support, and is widely used in commercial PC client software.

## Use cases
- build a windows desktop app ui in c++
- create custom-drawn directui interfaces without native win32 controls
- design xml-based layouts for a desktop client
- add animations and custom rendering to a windows gui
- develop an im or video client interface on windows

## When to choose
- you are building a windows-only desktop client in C++
- you want lightweight, skinnable UI without native control limitations
- you need a mature library proven in large commercial applications

## When to avoid
- you need cross-platform GUI support beyond Windows
- you prefer declarative frameworks like Qt or WPF with broader tooling
- your project targets mobile or web platforms

## Facets
- artifact type: library
- maturity: active
- function: ui-components, graphics, animation
- domain: desktop-applications, web-design, cross-platform
- platform: windows, cpp
- tags: directui, gui-library, windows-desktop, xml-layout, skia-rendering, desktop

## Member repositories
- duilib/duilib (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:33.691384+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 2026-08-29T17:50:42.520594+00:00, confidence not recorded.
  - readme: https://github.com/duilib/duilib (fetched 2026-08-28T04:09:33.691384+00:00, sha 9dbb284e6b9e)
- Data as of 2026-08-30T08:39:29.467469+00:00.