The
Flutter-powered AI app builder A head-to-head of two AI & Machine Learning packages on pub.dev, by daily downloads, GitHub activity, and maintenance.
google_mlkit_text_recognition leads on usage with about 6.0x the daily downloads of sherpa_onnx_ios (8,609 vs 1,432 per day). sherpa_onnx_ios answers issues faster, a median first reply of 0 vs 3 days.
flutter-ml.dev · v0.16.0
A Flutter plugin to use Google's ML Kit Text Recognition to recognize text in any Chinese, Devanagari, Japanese, Korean and Latin character set.
Replies within ~2 days
Speech recognition, speech synthesis, and speaker recognition using next-gen Kaldi with onnxruntime without Internet connection.
Replies within ~2 days
| Metric | google_mlkit_text_recognition | sherpa_onnx_ios |
|---|---|---|
| Downloads / day | 8,609 | 1,432 |
| Rank in AI & Machine Learning | #2 | #8 |
| GitHub stars | 1,270 | 14,046 |
| Likes | 406 | 2 |
| Pub points | 150 / 160 | 160 / 160 |
| Issue response (median) | 3 days | 0 days |
| Contributors | 54 | 100+ |
| Last commit | 25 days ago | 14 days ago |
| CI | Yes | Yes |
| License | MIT | Apache-2.0 |
| First published | 4 years ago | 2 years ago |
| Platforms | android, ios | ios |
Highlighted cell wins each comparable metric. For rank, issue response, and last commit, lower is better.