matplotlib styles / scientific figure styling
Matplotlib style sheets that change figure/plot formatting for scientific papers, presentations, and theses.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Active configuration package for journal figure sizes/fonts; choose when you want no LaTeX dependency and context-managed styles.
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Wrapper API around Matplotlib for publication graphics; choose if you want a higher-level plotting interface instead of style sheets.
🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Minimalistic Matplotlib style sheet, but stale and archived.
:chart_with_upwards_trend: Minimalistic Matplotlib style
Collection of Matplotlib stylesheets, old and unmaintained.
Stylesheets for Matplotlib
Matplotlib style sheets for papers, unmaintained for 2+ years; useful if you need Illustrator-friendly figures.
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
Matplotlib styles plus utility extensions, outdated.
:bar_chart: More styles and useful extensions for Matplotlib
These projects were analysed and named SciencePlots among their alternatives. The relationship is not symmetric — how SciencePlots rates them is a separate judgement, made when SciencePlots is analysed in its own right.
calls SciencePlots “Ready-made Matplotlib science styles; choose them for quick publication-styled figures without reading the book.”
An open access book on scientific visualization using python and matplotlib