Science Plots is a Matplotlib style sheet library that formats figures for scientific papers, presentations, and theses.
The tool solves the problem of creating publication-ready scientific figures by providing pre-configured Matplotlib styles that handle typography, dimensions, and visual formatting automatically. Rather than manually adjusting font sizes, line widths, and colors for each figure, users import the library and apply a named style using Matplotlib's standard style mechanism. The primary "science" style serves as a foundation that can be combined with additional styles to customize appearance for specific contexts.
Researchers and students preparing work for academic publication should adopt this tool. It suits projects ranging from individual papers to thesis documents. The library includes specialized style combinations for particular venues: the "ieee" style configures figures to meet IEEE paper requirements including black-and-white printability and single-column width constraints, while the "nature" style applies sans-serif fonts aligned with Nature journal recommendations. Users should be aware that the tool requires LaTeX to be installed separately, and optional CJK font installation is needed for non-Latin scripts. The project can be installed through standard Python package managers.
The project maintains active engagement with user needs through documentation and troubleshooting resources. Development shows responsiveness to version changes, as evidenced by the requirement that users import the library before applying styles in recent versions. The tool receives contributions addressing both core functionality and language support across different writing systems.
