# matplotlib/AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Repository: https://github.com/matplotlib/AnatomyOfMatplotlib
Canonical: https://ross.abutalabs.com/products/anatomyofmatplotlib
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2021-08-14T00:05:27+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4816, "days_push": 1846, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1237, forks 585 (observed 2026-08-28T04:04:05.285562+00:00)

## What it is
A Jupyter notebook tutorial series developed for the SciPy conference that teaches the matplotlib plotting library from NumPy basics through advanced concepts like artists and mpl_toolkits. It is intended as both a training resource and inspiration for restructuring matplotlib's documentation.

## Use cases
- learn matplotlib from scratch
- understand matplotlib figures, subplots, and layouts
- learn how matplotlib artists work internally
- prepare a matplotlib training session for a conference or team
- review plotting methods and legends in matplotlib
- get a NumPy refresher before learning matplotlib

## When to choose
- you want a structured, notebook-based introduction to matplotlib
- you are teaching or self-studying Python data visualization
- you want to understand matplotlib's architecture beyond basic plotting

## When to avoid
- you need up-to-date documentation for the latest matplotlib release
- you want a quick reference rather than a guided tutorial
- you need an interactive course with exercises and grading

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-visualization, developer-tools
- domain: data-visualization, tutorials, education
- platform: python, cross-platform
- tags: matplotlib, jupyter-notebook, tutorial, scipy-conference, plotting

## Member repositories
- matplotlib/AnatomyOfMatplotlib (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:05.285562+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 2026-08-30T08:21:52.855925+00:00, confidence not recorded.
  - readme: https://github.com/matplotlib/AnatomyOfMatplotlib (fetched 2026-08-28T04:04:05.285562+00:00, sha 7456515a8393)
- Data as of 2026-08-30T08:39:29.467469+00:00.