A library to aid in using colors
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Updated
Jul 18, 2026 - Python
A library to aid in using colors
helps with shades and colors
Color vision deficiency simulation for LaTeX
Simulate Color Vision Deficiency in Aseprite
Neural network pipeline making digital images accessible for color vision deficient users. End-to-end personalized color compensation for CVD. FM100-based 3D psychophysical profiling (θ, C, S) conditions CVDAdaN (ConvNeXt encoder + PLCF decoder), Y-preserving forward in YCbCr. Outperforms CUD-Net & Farup on perceptual alignment. ~22 FPS inference.
utility to assist in making Ishihara plates (usual and reverse)
HueFree is a JavaScript library providing advanced color manipulation methods specifically tailored for color vision deficiencies. It offers developers robust tools to simulate and adjust colors for different types of color blindness, ensuring accessibility and inclusivity in web applications.
Accurate, zero-dependency color-blindness (CVD) simulation for colors & images — protanopia, deuteranopia, tritanopia & more. 100% local. Web app + library.
A Python and PyQt5 toolkit for color and style transfer between images, with color-vision-deficiency simulation and Daltonization for protanopia, deuteranopia, and tritanopia.
color anomaly experimentation.
An open-source toolkit that transforms accessibility audit data into interactive, actionable visualizations for developers and designers.
ishihara rendering for the browser
A Playwright and Jupyter-driven computational audit of colour vision deficiency (CVD) perceptual fragility in FOSS UI library components.
WCAG 2.1 AA accessibility auditing tool — CLI and desktop GUI, built to the Mosley Standard
Your editor, tuned to your eyes. CVD colour correction, contrast comfort, rainbow brackets, and font controls — as a non-destructive layer over any VS Code theme.
Enhance color vision with real-time chromatic compensation for CVD users using adaptive deep learning and CUDA acceleration
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