# flutter-ml/google_ml_kit_flutter

A flutter plugin that implements Google's standalone ML Kit

Repository: https://github.com/flutter-ml/google_ml_kit_flutter
Canonical: https://ross.abutalabs.com/products/google_ml_kit_flutter
Language: Dart
License: MIT
License Family: permissive
Topics: hactoberfest
Last push: 2026-08-17T20:58:41+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2098, "days_push": 16, "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 1274, forks 889 (observed 2026-08-28T04:04:12.861067+00:00)

## What it is
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
- artifact type: plugin
- maturity: active
- function: machine-learning, computer-vision, ocr, nlp, image-processing
- domain: machine-learning, mobile-development, computer-vision
- platform: cross-platform
- tags: flutter-plugin, ml-kit, on-device-ml, barcode-scanning, face-detection, text-recognition, flutter, android, ios

## Member repositories
- flutter-ml/google_ml_kit_flutter (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.861067+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 2026-08-30T05:03:07.317693+00:00, confidence not recorded.
  - readme: https://github.com/flutter-ml/google_ml_kit_flutter (fetched 2026-08-28T04:04:12.861067+00:00, sha 67dbaf4c6603)
- Data as of 2026-08-30T08:39:29.467469+00:00.