# luhenchang/flutter_study

三天学会Flutter

Repository: https://github.com/luhenchang/flutter_study
Canonical: https://ross.abutalabs.com/products/flutter_study
Language: Dart
License Family: other
Last push: 2019-09-06T06:46:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2987, "days_push": 2553, "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 1095, forks 245 (observed 2026-08-28T04:03:34.062185+00:00)

## What it is
A free Chinese-language Flutter tutorial project claiming to teach Flutter in three days, covering Dart basics, Flutter fundamentals, and a hand-written Bilibili app clone. It includes demo code for networking, state management, scroll listeners, and 3D features.

## Use cases
- learn flutter from scratch
- learn dart basics for flutter
- find a flutter tutorial with example app
- see how to build a video app clone in flutter
- learn flutter state management and network requests
- flutter examples for scroll listeners and custom widgets

## When to choose
- you want a free, example-driven introduction to Flutter and Dart
- you prefer learning by cloning a real app like Bilibili
- you read Chinese and want accompanying video lessons

## When to avoid
- you need up-to-date Flutter APIs - the project was last updated in 2019
- you want a maintained, licensed codebase to build on
- you need English-language documentation

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: mobile-framework, developer-tools
- domain: mobile-development, tutorials, cross-platform
- platform: cross-platform
- tags: flutter, dart, tutorial, bilibili-clone, chinese-language, demo-app, android, ios, mobile

## Member repositories
- luhenchang/flutter_study (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.062185+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 2026-08-30T06:47:16.162494+00:00, confidence not recorded.
  - readme: https://github.com/luhenchang/flutter_study (fetched 2026-08-28T04:03:34.062185+00:00, sha 1fb393baaf1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.