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CKAN vs Shine Stacker

CKAN

github.com

Shine Stacker

shinestacker.wordpress.com

Side by side

FigureCKANShine Stacker
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Plans published11
Spec score · Focus Stacking Software8.8 (#1)7.2 (#22)
Intended usersThe project describes CKAN as useful to players seeking mods and modders seeking to avoid installation problems and outdated versions.The maker describes it for microscopy, macro photography, and computational imaging.
PurposeCKAN is a repository of Kerbal Space Program mod metadata and tools for finding, installing, and managing mods.Shine Stacker combines images taken at different focus distances to produce images with extended depth of field.

Plans

CKAN

  • CKANFree

CKAN pricing →

Shine Stacker

  • FreeFree

Shine Stacker pricing →

In their own words

CKAN

CKAN helps Kerbal Space Program players find, install, and manage mods through a client connected to an online registry. Users can refresh the registry and search by mod name, identifier, author, or relationships. CKAN uses mod metadata to select mods for the game version, install dependencies, and identify conflicts or incompatibilities. By default, a mod must be marked compatible with the exact game version; users can choose additional compatible versions, and an All filter can display incompatible mods. The client provides graphical, console, and command-line interfaces. It runs on Windows, macOS, and Linux, with installation options for several Linux distributions. The executable can manage game installations from any folder; placing it in a game folder supports portable use. Mod authors can contribute or correct metadata. CKAN is open source and MIT-licensed, and is free. On macOS 10.15 and later, the console interface is the default because the graphical interface depends on a 32-bit WinForms application in Mono.

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Shine Stacker

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.

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