Ross ROSS = Recommend OSS · open-source software intelligence for agents

Matplotlib

matplotlib: plotting with Python observed · 2026-10-17

github.com/matplotlib/matplotlib · homepage · Python observed · 2026-10-17

Health v2 · maintenance only

94/100

  • Activity 100
  • Release rhythm 82
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 44.0
  • age_days: 5723
  • days_rel: 40
  • days_push: 4
  • n_releases_24m: 13

Full methodology

Adoption not part of the score

23375 stars · 8517 forks observed · 2026-10-17

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.99

Matplotlib is a comprehensive Python library for creating static, animated, and interactive visualizations. It supports a wide range of plot types and backends for desktop, web, and notebook environments.

Use cases

  • create line and scatter charts from CSV or NumPy data
  • visualize scientific measurements and experimental results
  • generate publication-quality figures for research papers
  • embed interactive plots in Jupyter notebooks or IPython sessions
  • plot time‑series data for financial or sensor analysis
  • produce animated visualizations for presentations or tutorials

When to choose

  • You need a mature, well‑documented library with many plot types and backends.
  • Your workflow is Python‑centric and may involve Jupyter, scripts, or GUI toolkits.
  • You require publication‑quality output in formats like PDF, SVG, or PNG.
  • You want extensive customization and control over figure aesthetics.

When to avoid

  • You need high‑performance GPU‑accelerated rendering or WebGL‑based interactivity.
  • Your project targets pure JavaScript or non‑Python environments.
  • You require a lightweight library for simple charts with minimal dependencies.

Facets

library · maturity stable

data-visualization data-visualization data-science artificial-intelligence python windows cross-platform publication-quality interactive jupyter ipympl mpl gui-toolkits gui-backends interactive-visualization linux macos

7 sources

Member repositories

RepositoryRoleHealth v2
matplotlib/matplotlibmain94
matplotlib/cheatsheetsdocs72
matplotlib/ipymplplugin76

For agents

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

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem