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jbmouret/matplotlib_for_papers resource

Handout for the tutorial "Creating publication-quality figures with matplotlib" observed · 2026-08-28

github.com/jbmouret/matplotlib_for_papers · Jupyter Notebook · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4414
  • days_rel: n/a
  • days_push: 1382
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2201 stars · 298 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tutorial handout (with Jupyter Notebook source) teaching how to create publication-quality figures with Matplotlib, originally given at the Alife 2014 conference. It focuses on scientific paper figures such as fitness-over-time plots and box plots for comparing treatments.

Use cases

  • make publication-quality figures for a scientific paper
  • learn matplotlib styling for academic plots
  • create box plots to compare experimental treatments
  • plot fitness over time for evolutionary computation experiments
  • improve figure aesthetics for a journal submission
  • find a matplotlib tutorial for researchers

When to choose

  • you write scientific papers in Python and need polished figures
  • you want a guided tutorial from basics to advanced matplotlib customization
  • your field is artificial life, evolutionary computation, or similar research areas

When to avoid

  • you need an exhaustive matplotlib reference or API documentation
  • you want interactive or web-based visualization libraries like Plotly or Bokeh
  • you need a maintained library rather than a teaching document

Facets

learning-resource · maturity maintenance

data-visualization charts data-visualization education data-science python cross-platform matplotlib tutorial publication-figures scientific-plotting jupyter-notebook

1 source

Member repositories

RepositoryRoleHealth v2
jbmouret/matplotlib_for_papersmain32

For agents

markdown · JSON · MCP: product_card(name="jbmouret/matplotlib_for_papers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem