cnsplots¶

Publication-ready scientific visualizations for Cell, Nature, and Science journals.

cnsplots is a Python visualization library built on matplotlib and fully compatible with seaborn. It creates figures that meet the high standards of top-tier scientific publications while keeping the API simple and intuitive.

Key Features¶

Publication-ready defaults — Figures styled for Cell, Nature, and Science journals
Adobe Illustrator compatible — PDF fonts work seamlessly in publication workflows
Familiar API — Built on matplotlib/seaborn, easy to learn if you know these libraries
Precise sizing — Dimensions in pixels for exact control

Quick Example¶

import cnsplots as cns
import seaborn as sns

df = sns.load_dataset("tips")
cns.figure(150, 100)  # Height x Width in pixels
cns.boxplot(data=df, x="day", y="total_bill")
cns.savefig("figure.svg")