DisplayCAL vs PsyCalibrator

DisplayCAL is a free display calibration and profiling solution built on ArgyllCMS, available for Linux, macOS, and Windows. With a supported measurement instrument, it measures displays and creates calibrations and ICC profiles, including for multi-display setups. Users can verify profiles and display devices, measure screen uniformity, and create video 3D LUTs with optional CIECAM02 gamut mapping. Colorimeter corrections can be imported from vendor software or created from measurements when a spectrometer is available. A test chart editor makes patch charts and accepts pasted data from CGATS, tab-delimited CSV, and spreadsheet applications. Documented pattern generators include madVR and DaVinci Resolve 10.1 or later; Chromecast support is optional. DisplayCAL requires ArgyllCMS 1.0 or newer and a supported measurement instrument. The software is licensed under GNU GPL version 3 or later and comes without warranty. The download page provides SHA-256 checksums, while the site links to forums, a wiki, documentation, help, and an issue tracker.

PsyCalibrator is a free, open-source package for measuring display luminance and color and calibrating gamma. It uses a Spyder5, SpyderX, or SpyderX2 instrument and returns measurements as CIE 1931 xyY coordinates. Its correction workflow adjusts the relationship between RGB intensity and luminance to be linear, for grayscale or individual color channels. The fitting process incorporates Mcalibrator2 and uses cubic spline interpolation as its main method. Users can apply correction through a color lookup table and restore the display to its uncorrected state. PsyCalibrator supports Windows, macOS, and Linux and includes multi-monitor calibration. Its research workflow requires MATLAB or GNU Octave, Psychtoolbox, and a supported Spyder instrument. The tutorial says Windows users need a photometer driver; Linux and Mac users do not. SpyderX and SpyderX2 can use built-in Windows 10 or 11 drivers with Psychtoolbox 3.0.19 or later. For more accurate measurements, the tutorial recommends keeping ambient light steady and using a sensor area smaller than the target stimulus.