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@github-actions github-actions released this 23 Sep 22:36
· 107 commits to main since this release
v0.0.1
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ADJB1212 Andrew Jaffe
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The first release of Blanket, a Rust-backed image library with a Pillow-shaped Python API and no external Python runtime dependencies.

Features

  • Image processing: Create, open, convert, crop, resize, rotate, transpose, and save images. Includes all six Image.Resampling filters, channel access, palette handling, quantization, and dithering.
  • ImageOps: Fit, contain, pad, flip, mirror, adjust colors, and correct EXIF orientation.
  • Compositing and analysis: Paste with masks, blend images, alpha-composite overlays, perform channel arithmetic with ImageChops, and calculate per-band statistics with ImageStat.
  • Enhancement and filtering: Adjust brightness, contrast, color, and sharpness; apply blur, convolution, rank filters, and 3D color LUTs.
  • Formats: Read and write PNG, JPEG, JPEG XL, TIFF, WebP, AVIF, HEIC/HEIF, BMP, GIF, and ICO. Export single-page PDFs with transparency.
  • High-bit-depth workflows: Retain 10-, 12-, and 16-bit samples in supported formats and selected operations, with explicit conversion to 8-bit processing.
  • Save-time compression: LosslessImageCompressor searches PNG, JPEG, JPEG XL, and HEIF/HEIC encodings without adding loss relative to the requested save. LossyImageCompressor searches for smaller output within a configurable decoded RGB error limit, preserving alpha.
  • Interoperability: Work with binary streams, construct images from bytes or array-interface objects, and explicitly convert to Pillow with to_pillow() when Pillow is installed.
  • Native execution: Pixel kernels use Rust, SIMD, and parallel processing for supported operations.

Scope and limitations

This alpha release focuses on L, RGB, and RGBA images, with limited indexed P support. It implements a subset of Pillow's API.

Animation and multipage editing are unsupported. Saving writes pixels without preserving source metadata. High-bit-depth support varies by operation and format; most processing requires 8-bit samples. Compression optimization applies to the requested save rather than recovering the original encoded file.

Installation

Requires Python 3.12+:

pip install pyblanket==0.0.1

Release assets include wheels for Linux x86_64 (glibc 2.39+) and macOS 26+ on Apple Silicon, plus a source distribution.

Source: v0.0.1

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