flutter-ml/google_ml_kit_flutter
A flutter plugin that implements Google's standalone ML Kit observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 98
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2098
- days_rel: n/a
- days_push: 16
- n_releases_24m: 0
Adoption not part of the score
1274 stars · 889 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A set of Flutter plugins wrapping Google's ML Kit on-device machine learning APIs for Android and iOS. It provides vision APIs (barcode, face, text recognition) and natural language APIs to Flutter apps.
Use cases
- add barcode scanning to a flutter app
- detect faces in camera images on mobile
- extract text from images with ocr in flutter
- run on-device translation in a mobile app
- identify objects or poses in photos
- smart reply suggestions in a chat app
When to choose
- building a flutter app that needs on-device ML without server costs
- you want google's ml kit apis from dart
- targeting both android and ios with one codebase
When to avoid
- building for web or desktop platforms
- you need custom-trained models beyond ml kit's offerings
- you prefer native android or ios development
Facets
plugin · maturity active
machine-learning computer-vision ocr nlp image-processing machine-learning mobile-development computer-vision cross-platform flutter-plugin ml-kit on-device-ml barcode-scanning face-detection text-recognition flutter android ios
1 source
- readme: https://github.com/flutter-ml/google_ml_kit_flutter · fetched 2026-08-28 · 67dbaf4c6603
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| flutter-ml/google_ml_kit_flutter | main | 76 |
For agents
markdown · JSON · MCP: product_card(name="flutter-ml/google_ml_kit_flutter")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem