Fabio Crameri

Scientific colour maps

Fairly representing data

The colour gradients are perceptually uniform and ordered to represent data both fairly, without visual distortion, and intuitively

Universally readable

The colour combinations are readable both by colour-vision deficient and colour-blind people, and even when printed in black&white

Citable & reproducible

The colour maps and their diagnostics are permanently archived and versioned to enable upgrades and acknowledge  developers and contributors


Version 7.0.1 (12.09.2021, scm-vn7.0)

Crameri, F. (2018). Scientific colour maps. Zenodo. http://doi.org/10.5281/zenodo.1243862

Crameri, F. (2018), Geodynamic diagnostics, scientific visualisation and StagLab 3.0, Geosci. Model Dev., 11, 2541-2562, doi:10.5194/gmd-11-2541-2018

Crameri, F., G.E. Shephard, and P.J. Heron (2020), The misuse of colour in science communication, Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

Trusted by
Usable with:

MatLab, Python, Julia, R, GMT, QGIS, Ncview, Ferret, Plotly, Paraview, VisIt, Mathematica, Gnuplot, Surfer, d3, SKUA-GOCAD, Petrel, XMapTools, COMSOL Multiphysics, Fledermaus, Qimera, ImageJ, Fiji, Kingdom, Originlab, GIMP, Inkscape, Photoshop, and more...

➡ Extra formats for QPS software

➡ Extra formats for Kingdom software

➡ Extra formats for Originlab software

➡ Extra formats for Photoshop

➡ Extra formats for OpendTect software

Built-in Scientific colour maps:
Tools for software developers:
  • Inclusivity: Apple macOS application including a colour scheme editor and accessibility tester to develop WCAG-proof iOS and macOS apps.

How to use with your software:
Scientific colour maps

In-use examples

TopoToolbox selection by Wolfgang Schwanghart.Coltice et al. (2019), Figure 3aDöhmann et al. (2019), Figure 3Duretz et al. (2019), Figure 4lajolla in Arnould et al. (2019), Figure 2bKareta et al. (PrePrint)Münchmeyer et al. (2019), Figure 1Okada (2020), Figure 2Scott et al. (2019), Figure 11aStraume et al. (2019) on AGU Gcubed coverMaupin (2017)Wright (2019), Figure 1Agrusta et al. (2018)Straume et al. (2019), Figures 1, 2 and 7Albano et al. (2018)Foley (2018)Golledge et al. (2019)Orosei et al. (2018)Solferino and Golabek (2018)Thieulot (2018)batlow in Ward et al. (2021)vik in Ward et al. (2021)roma in Gilford et al. (2019)devon in Matiu et al. (2021)