Added #

• Image join support: VipsPipelineCompute.executeJoin() and executeJoinToFile() for combining multiple images
• JoinPipelineSpec: Serializable spec for joining images vertically or horizontally
• JoinPipelineComputeParams: Parameters for join operations in isolate

Added #

• libvips_ffi_api package: High-level Dart API with Pipeline-style chainable operations
• VipsPipeline API: Synchronous chainable image processing API
• VipsPipelineCompute API: Async processing API using Flutter's compute()
• PipelineSpec API: Serializable pipeline definitions with JSON support
• New FFI bindings: vips_clamp, vips_hough_circle, vips_hough_line, vips_profile, vips_project, vips_dzsave
• Pipeline extensions: clamp(), houghCircle(), houghLine(), toDeepZoom()
• Multi-image operations: Boolean operations, statistics methods, convolution methods
• Image collage: Support for creating image collages

Changed #

• Architecture refactor: Split into libvips_ffi_core (pure Dart FFI) and libvips_ffi_api (high-level API)
• API migration: Migrated from VipsCompute to VipsPipelineCompute
• Code refactor: Converted image mixins to Dart extensions
• VarArgs support: Implemented support for libvips variadic functions

Documentation #

• Updated all documentation to use VipsPipeline API
• Added API function comparison document
• Improved package family documentation

Features #

• High-performance image processing using libvips FFI bindings
• Cross-platform support for Android (arm64-v8a, armeabi-v7a, x86_64) and iOS
• Sync API via VipsPipeline for fluent chainable image operations
• Async API via VipsPipelineCompute using Flutter's compute() for isolate-based processing
• Spec API via PipelineSpec for serializable pipeline definitions

Image Operations #

• Load/save images from files and memory buffers
• Resize, thumbnail, rotate, crop, flip
• Gaussian blur, sharpen, invert
• Brightness and contrast adjustment
• Auto-rotate based on EXIF orientation
• Smart crop (attention-based)
• Colorspace conversion (grayscale, sRGB, etc.)
• Format conversion (JPEG, PNG, WebP, etc.)

Supported Platforms #

• Android: arm64-v8a, armeabi-v7a, x86_64 (all 64-bit libraries are 16KB aligned for Android 15+ compatibility)
• iOS: arm64 (device), arm64 (simulator on Apple Silicon Mac)
  • Minimum iOS version: 12.0
  • Note: x86_64 simulator (Intel Mac) is not supported