ForgePix vs Shine Stacker

ForgePix is beta software for automatic focus stacking and computational photography, with workflows for macro, astrophotography, and long-exposure image series. Its Macro, Astro, Hybrid, and Long Exposure modules include a one-click Automatic mode that selects usable frames, aligns and merges them, then applies gentle sharpening. Focus merges can use Laplacian pyramid, depth map, weighted average, à-trous wavelet, or halo fix methods. Astro tools cover calibration-frame detection, star alignment, rejection methods, drizzle, multi-session stacking, and FITS export. Editing and output features include RAW support, a Camera-Raw editor, retouch brush, batch processing, watch folder, and export presets for JPG, TIFF, layered Photoshop TIFF, and FITS. ForgePix says processing is fully local and does not require AI, a server, or external astronomy software. Optional language assistants and external tools are available. Assistant setup sends preview frames, sharpness profile, basic EXIF data, and the user's wish, but not original files or location data. Experimental local AI image models are not enabled by default and may alter faint structures, flux, or star shapes. ForgePix is free under the MIT license, with downloads for Linux, macOS, and Windows.

Shine Stacker combines images captured at different focus distances to produce images with extended depth of field. It is intended for microscopy, macro photography, and computational imaging. The software offers Laplacian pyramid and depth map stacking methods, with automatic alignment, color or luminosity balancing, noisy pixel masking, vignetting correction, and final filters. For retouching, users can select details from individual frames to address dust, ghosts, and artifacts. Batch workflows can divide many frames into smaller groups before merging them into one focused image. Python batch processing and Jupyter notebook scripting are supported. Shine Stacker supports RAW files and lists TIFF, JPEG, and multilayer TIFF as output formats. It is open source under the LGPL-3.0 license and free to download. The listed platforms are Windows, macOS, Linux, and API. The maker offers a GitHub download and Python installation through PyPI with pip.