{"categories":[{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Provides a collection of Matplotlib style sheets designed to format scientific figures for papers, presentations, and theses with publication-ready appearance.","skillfed_tags":["matplotlib-styling","academic-publishing","figure-formatting"],"use_cases":["Format plots for IEEE papers by combining 'science' and 'ieee' styles to match column width and font requirements","Prepare figures for Nature or other journals using journal-specific style combinations","Create consistent, publication-ready plots in Jupyter notebooks with the 'notebook' style variant","Apply colorblind-safe color cycles to ensure accessibility across different audiences","Generate multilingual scientific figures using CJK font support for Chinese, Japanese, or Korean text"],"what_it_does":"SciencePlots is a Matplotlib style package that registers pre-configured visual themes optimized for scientific publication. When imported, it adds styles like 'science', 'ieee', and 'nature' that you apply via `plt.style.use()` to automatically adjust figure dimensions, fonts, colors, and line weights to match journal or presentation standards.\n\nThe package is designed to eliminate manual formatting work when preparing figures for academic papers. It supports cascading styles (combining 'science' with 'ieee' or 'nature' for journal-specific tweaks), includes multiple color cycles (some colorblind-safe), and provides localized support for CJK fonts and other languages. The main constraint is that LaTeX must be installed separately for full functionality, and the import statement must appear before any style application.","worth_installing":"Yes. SciencePlots is worth installing if you regularly produce scientific figures for publication. It eliminates repetitive manual formatting, is actively maintained, has no security vulnerabilities, carries a permissive license, and depends only on matplotlib. The only gotcha is the LaTeX requirement, which is standard in academic workflows anyway."},"id":"scienceplots","links":{"html":"https://skillfed.io/packages/scienceplots","md":"https://skillfed.io/packages/scienceplots.md","pypi":"https://pypi.org/project/scienceplots/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-23","license_spdx":"MIT","license_treatment":"permissive","name":"SciencePlots","python_support":"supports_current","summary":"Format Matplotlib for scientific plotting"},"popularity":{"monthly_downloads":274693,"position":8187,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.2.2"}