zignal

What's Changed

• feat(python): allow colorspace conversion during color parsing by @arrufat in https://github.com/bfactory-ai/zignal/pull/247
  • this was regressed in 0.9.0

Full Changelog: https://github.com/bfactory-ai/zignal/compare/0.9.0...0.9.1

Breaking Changes

All color types are generic on the backing scalar: we can now have:

• Rgb(u8), where each channel ranges from 0-255
• Rgb(f32) or Rgb(f64) where each channel is assumed to be in the 0-1 range.
• The rest of color spaces are also generic on float types: Hsv(f32), Hsv(f64)...
• A new Gray(u8/f32/f64) type to make the API more uniform

As a result code that used to look...

Highlights

• New APIs: Rectangle helpers (centers/corners/clip/covers), byte-buffer image loading (Image.loadFromBytes / load_from_bytes), color-wide invert(), and mean pixel error metrics join PSNR/SSIM for easier quality checks.
• Linear Algebra Refresh: Matrix norms break out into explicit helpers (element, Schatten, induced, nuclear, spectral, etc.), with clearer error surfaces on inval...

Highlights

• Faster pipelines: Convolution now skips redundant work for uniform RGB channels and leverages SIMD kernels, while the sixel encoder received a full rewrite with smarter palette generation, chunking, and profiling hooks, dramatically cutting time-to-frame for terminal renders.
• Safer numerics: Matrix GEMM now correctly dispatches Aᵀ * Bᵀ paths to SIMD helpers, and JPEG/PNG...

HIghlights

• SSIM scoring landed for Image.ssim, giving perceptual quality metrics directly in Zig and Python.
• Matrix module adds SVD-powered pseudoInverse, richer error reporting, and faster PCA projection via SIMD.
• Python Matrix bindings now behave like native numeric types, expose LU/QR/SVD/pinv, and ship new constructors plus 3.10 to 3.14 wheel support.
• Image filters now require...