Generating publication-ready figures for computational biology research often requires tedious tweaking of Matplotlib and Seaborn defaults, or manual post-processing in Illustrator.

To streamline this workflow, I developed cnsplots (https://github.com/faridrashidi/cnsplots).

The Problem: Default Python plots do not meet the strict DPI, font family, and line-width requirements of top-tier journals. The Solution: cnsplots acts as a lightweight wrapper. You use your standard Matplotlib/Seaborn code, and the library automatically enforces the aesthetic guidelines for Cell, Nature, and Science.

It is particularly useful for standardizing complex visualizations like survival curves, volcano plots, or single-cell clusters across a manuscript.

I hope this saves others in the community some time during the manuscript preparation phase. Feedback and pull requests are welcome!