Skip to content
SPECIFICTION
Get listed

CKAN vs focus-stack

CKAN

github.com

focus-stack

github.com

Side by side

FigureCKANfocus-stack
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published11
Spec score · Focus Stacking Software8.8 (#1)8.3 (#6)
LicenseThe project describes CKAN as open source and MIT-licensed.The repository identifies the project as MIT licensed.
PurposeCKAN is a repository of Kerbal Space Program mod metadata and tools for finding, installing, and managing mods.Combines photos taken at different focus settings by selecting the sharpest source image for each pixel to create an extended depth of field image.

Plans

CKAN

  • CKANFree

CKAN pricing →

focus-stack

  • focus-stackFree

focus-stack 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.

Visit github.com

focus-stack

focus-stack is a free desktop program that combines photographs taken at different focus settings into an image with extended depth of field. For each pixel, it selects the sharpest source image, a method documented for uses such as microscope photography. The tool can resize and rotate stack images to align them, or alignment can be skipped or adjusted. Outputs include a focus-stacked image, an optional depth map, and a 3D preview based on that map. Input formats supported by OpenCV include JPG, PNG, and TIFF, while the filename extension determines output format. Processing controls cover denoising, consistency filtering, batch size, and thread count. OpenCV’s OpenCL interface provides GPU acceleration when available, with an option to disable it. Binary packages are listed for Windows 10, Ubuntu 20.04, and Mac OS X. The project is MIT licensed; Linux builds require OpenCV 3.0 or newer and basic build tools.

Visit github.com