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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0199239

https://doi.org/10.1371/journal.pone.0199239

Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data

Cited by: 91
Author(s): Jamie Nuñez, Christopher R. Anderton, Ryan Renslow
Published: about 7 years ago

Software Mentions 8

cran: viridis
Colorblind-Friendly Color Maps for R
Papers that mentioned: 92
Very Likely Science (100)
pypi: cividis
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
Papers that mentioned: 1
Very Likely Science (65)
pypi: cmaputil
Colormap analysis module
Papers that mentioned: 1
Very Likely Science (100)
pypi: colorspacious
A powerful, accurate, and easy-to-use Python library for doing colorspace conversions
Papers that mentioned: 1
Very Likely Science (100)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: viridis
Tree data structures and algorithms
Papers that mentioned: 92
Very Likely Science (100)
pypi: viscm
A colormap tool
Papers that mentioned: 1
Very Likely Science (80)