# proplot-dev/proplot

🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

Repository: https://github.com/proplot-dev/proplot
Canonical: https://ross.abutalabs.com/products/proplot
Homepage: https://proplot.readthedocs.io
Language: Python
License: MIT
License Family: permissive
Topics: python, matplotlib, data-visualization, plotting
Last push: 2025-02-27T20:49:12+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 8, release rhythm 35, longevity 100
- inputs: {"age_days": 3192, "days_push": 552, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1147, forks 96 (observed 2026-08-28T04:03:45.889056+00:00)

## What it is
ProPlot is a Python library that wraps matplotlib to provide a more succinct API for creating publication-quality figures. Development has been indefinitely halted since summer 2023 in favor of its spiritual successor, Ultraplot.

## Use cases
- make publication-quality matplotlib figures with less code
- create beautiful scientific plots in python
- simplify matplotlib figure and subplot layout
- make multi-panel figures with shared axes
- style matplotlib plots for academic papers
- plot data with nicer default colormaps and aesthetics

## When to choose
- you need to maintain or extend existing code that already uses proplot
- you are pinned to older matplotlib/python versions that ultraplot does not support

## When to avoid
- you are starting a new project - use ultraplot, the actively maintained successor
- you need support for recent matplotlib, cartopy, or python versions
- you expect bug fixes or new features from the maintainers

## Facets
- artifact type: library
- maturity: abandoned
- function: data-visualization, charts
- domain: data-visualization, data-science
- platform: python, cross-platform
- tags: matplotlib-wrapper, plotting, publication-graphics, scientific-plotting

## Member repositories
- proplot-dev/proplot (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.889056+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 2026-08-30T06:34:03.683532+00:00, confidence not recorded.
  - readme: https://github.com/proplot-dev/proplot (fetched 2026-08-28T04:03:45.889056+00:00, sha 1be4eee58269)
- Data as of 2026-08-30T08:39:29.467469+00:00.