2020/02/06 by Ellert van der Velden · 320 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Physics and Astronomy · #Cell Image Analysis Techniques #Cover (algebra) #Data Analysis with R #Data collection #Image Retrieval and Classification Techniques #Python (programming language) #R package #Range (aeronautics) #eess.IV #physics.data-an
paper · pdf · doi:10.21105/joss.02004
published in The Journal of Open Source Software 5(46), 2004 (Open Journals) · 5 pages, 2 figures, published in JOSS
openalex publication_date 2020/02/06 · openalex created_date 2020/02/14 · arxiv created 2020/02/26 · arxiv updated 2020/03/03 · openalex updated_date 2026/08/05
CMasher is a Python package that provides a curated collection of scientific colormaps, showcased in the online documentation (https://cmasher.readthedocs.io). The colormaps in CMasher are all designed to be perceptually uniform sequential using the 'viscm' package; most of them are color-vision deficiency friendly; and they cover a wide range of different color combinations to accommodate for most applications. It aims to provide several alternatives to commonly used colormaps, like 'chroma' and 'rainforest' for 'jet'; 'sunburst' for 'hot'; 'neutral' for 'binary'; and 'fusion' and 'redshift' for 'coolwarm'. With CMasher, I hope to help others with picking the correct colormap for the job.