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Published 8 days ago • verified publishergurwinderdevx.com
SDKFlutter
PlatformAndroidiOSLinuxmacOSWindows
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Community-maintained TensorFlow Lite Flutter plugin with a fast Dart FFI API for on-device inference across mobile and desktop platforms.

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0.12.3 (July 27, 2026) #

  • Added Swift Package Manager support for iOS and macOS while retaining CocoaPods compatibility.
  • Updated the Apple TensorFlow Lite runtime to 2.14.0.
  • Updated the iOS image-segmentation and macOS text-classification examples for Swift Package Manager integration.

0.12.2 (July 27, 2026) #

  • Renamed the published package to tflite_flutter_gdx_plus.
  • Migrated the maintained repository, issue tracker, and package metadata to 47gurvinder/flutter-tflite.
  • Added Android build compatibility for newer Flutter toolchains by applying the Kotlin Android plugin and aligning the Kotlin JVM target.
  • Fixed the Android build configuration of the text classification example.

0.12.1 (October 28, 2025) #

  • CRITICAL FIX: Properly implement Android 16KB page size support
  • Migrated from TensorFlow Lite 2.12.0 to Google AI Edge LiteRT 1.4.0
  • LiteRT provides native libraries with 16KB page alignment required by Google Play
  • Added verification script (scripts/verify_16kb.sh) to check page size alignment
  • Note: Version 0.12.0 claimed 16KB support but used TensorFlow Lite 2.12.0 (incompatible)

0.12.0 (October 27, 2025) #

  • Android 16KB page size support attempted (incomplete - fixed in 0.12.1)
  • Updated Android Gradle Plugin to 8.6.1
  • Updated Compile SDK to 36 (Android 15+)
  • Modernized Gradle build system with plugins DSL
  • Updated Kotlin to 1.8.10
  • Fixed deprecated withOpacity warnings across examples
  • All 14 example projects verified working

0.11.0 (September 3, 2024) #

  • FFI update, Dart/Flutter version updates

0.10.2 (September 27, 2023) #

  • MacOS desktop support added!
  • Additional samples added
  • Various bug fixes

0.10.0 (May 22, 2023) #

  • Use ffi for binding to iOS dependencies. Use the ios/tflite_flutter.podspec file to specify tensorflow lite library version. Dependencies are automatically downloaded without user intervention (no need for releases/download folder)
  • Use ffi for binding with Android dependencies. Use the android/build.gradle file to specify tensorflow lite library version. Dependencies are automatically downloaded without user intervention (no need for releases/download folder)
  • Use ffigen to generate the binding code in dart
  • Enable delegates in text_classification example
  • Add conversion for tensors of type uint8
  • Add image classification example using mobilenet
  • Add super resolution example using esrgan
  • Add style transfer example
  • IsolateInterpreter to run inference in an isolate. Related to Use isolates to run inference #52
  • Support for melos added
  • Text classification example fixed

0.9.0 (Jun 28, 2021) #

  • Support for Windows, Mac and Linux platforms.
  • Improved gpu delegate support and bug fixes.
  • Support for CoreML and XnnPack delegates.

0.8.0 (Apr 21, 2021) #

  • Null-safety major bug fix in tensor.dart
  • Expose byte-object interconversion APIs

0.7.0 (Apr 21, 2021) #

  • Stable null-safety support

0.6.0 (Feb 26, 2021) #

  • Update to Dart 2.12 and package:ffi 1.0.0.

0.5.0 (Jul 17, 2020) #

  • Expose interpreter's address
  • Create interpreter by address.

0.4.2 (Jul 6, 2020) #

  • Optimize getTensors and getTensor by Index
  • Update readme

0.4.1 (Jun 23, 2020) #

  • Bug fix, output values copy to bytebuffer

0.4.0 (Jun 18, 2020) #

  • run supports UintList8 and ByteBuffer objects
  • Bug fix, resize input tensor
  • Improved efficiency

0.3.0 #

  • New features
    • multi-dimensional reshape with type
  • Bug fixes
    • extension flatten on List fixed.
    • error on passing not dynamic type list to interpreter output fixed

0.2.0 #

  • Direct conversion support for more TfLiteTypes
  • int16, float16, int8, int64
  • Pre-built tf 2.2.0 stable binaries

0.1.3 #

  • update usage instructions

0.1.2 #

  • fixed analysis issues to improve score

0.1.1 #

  • fixed warnings
  • longer package description

0.1.0 #

  • TfLite dart API

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verified publishergurwinderdevx.com

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Community-maintained TensorFlow Lite Flutter plugin with a fast Dart FFI API for on-device inference across mobile and desktop platforms.

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Repository (GitHub)
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Contributing

Topics

#tensorflow-lite #machine-learning #inference #ffi #flutter-plugin

Funding

Consider supporting this project:

buymeacoffee.com

License

Apache-2.0 (license)

Dependencies

ffi, flutter, path, plugin_platform_interface, quiver

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