# garrettj403/SciencePlots

Matplotlib styles for scientific plotting

Repository: https://github.com/garrettj403/SciencePlots
Canonical: https://ross.abutalabs.com/products/scienceplots
Language: Python
License: MIT
License Family: permissive
Topics: matplotlib-style-sheets, matplotlib-figures, scientific-papers, thesis-template, matplotlib-styles, python, cjk-fonts, ieee-paper, latex
Last push: 2026-06-23T07:51:51+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 89, release rhythm 66, longevity 100
- inputs: {"age_days": 2942, "days_push": 71, "days_rel": 71, "gap_med": 107.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9151, forks 820 (observed 2026-08-28T04:10:28.619085+00:00)

## What it is
A Python library providing Matplotlib style sheets that format figures for scientific papers, theses, and presentations. It includes styles like 'science' and 'ieee' that emulate publication-quality plots, with optional LaTeX and CJK font support.

## Use cases
- make matplotlib figures look like they belong in a scientific paper
- style plots for an IEEE paper
- format charts for my thesis
- publication-quality plots in Python
- make matplotlib use LaTeX fonts in figures
- create presentation-ready scientific charts

## When to choose
- You use Matplotlib and need publication-quality figure styling for papers, theses, or presentations
- You want IEEE- or journal-style plots with minimal effort
- You need LaTeX-rendered text or CJK font support in your figures

## When to avoid
- You don't use Matplotlib (e.g., you plot with Plotly, ggplot, or seaborn's own theming)
- You can't install LaTeX on your system, since the primary styles require it
- You need fully custom branding or non-scientific chart aesthetics

## Facets
- artifact type: library
- maturity: stable
- function: data-visualization, theme
- domain: data-visualization, data-science, education
- platform: python, cross-platform
- tags: matplotlib, plotting-styles, scientific-papers, latex, ieee, thesis, cjk-fonts

## Member repositories
- garrettj403/SciencePlots (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:28.619085+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:23:24.256649+00:00, confidence not recorded.
  - readme: https://github.com/garrettj403/SciencePlots (fetched 2026-08-28T04:10:28.619085+00:00, sha 1f53db9588ff)
  - registry_pypi: https://pypi.org/pypi/scienceplots/json (fetched 2026-08-29T08:23:29.887126+00:00, sha 2ffead98f1ea)
- Data as of 2026-08-30T08:39:29.467469+00:00.