# feiyangqingyun/qtkaifajingyan

自己总结的这十多年做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！公众号：Qt实战/Qt入门和进阶/Qt教程

Repository: https://github.com/feiyangqingyun/qtkaifajingyan
Canonical: https://ross.abutalabs.com/products/qtkaifajingyan
License: NOASSERTION
License Family: other
Last push: 2026-04-18T01:18:59+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 77, release rhythm 35, longevity 100
- inputs: {"age_days": 2522, "days_push": 138, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4668, forks 987 (observed 2026-08-28T04:08:56.579961+00:00)

## What it is
A continuously updated collection of Qt development experience notes, tips, and an accompanying 'Qt secrets' ebook accumulated over more than a decade of Qt development. It covers practical topics like compilation, timers, qmake configuration, and QtCreator usage, with support notes for Qt4/5/6.

## Use cases
- learn qt development tips and best practices
- solve qt compilation errors
- configure qmake project files
- speed up qtcreator builds
- find qt development tutorials
- avoid common qt pitfalls

## When to choose
- you are a Qt developer looking for practical, experience-based advice
- you want a curated collection of Qt tips in one place
- you are learning Qt and want to avoid common mistakes

## When to avoid
- you need official Qt documentation or API references
- you do not use the Qt framework
- you need a software tool or library rather than written guidance

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, developer-tools, cross-platform
- platform: cross-platform, cpp
- tags: qt, qt-development, experience-notes, ebook, chinese-language, qtcreator, qmake

## Member repositories
- feiyangqingyun/qtkaifajingyan (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.579961+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 2026-08-29T18:19:24.391063+00:00, confidence not recorded.
  - readme: https://github.com/feiyangqingyun/qtkaifajingyan (fetched 2026-08-28T04:08:56.579961+00:00, sha b22bf505670e)
- Data as of 2026-08-30T08:39:29.467469+00:00.