# dhaitz/mplcyberpunk

"Cyberpunk style" for matplotlib plots

Repository: https://github.com/dhaitz/mplcyberpunk
Canonical: https://ross.abutalabs.com/products/mplcyberpunk
Language: Python
License Family: other
Topics: python, dataviz, visualization, plotting, matplotlib
Last push: 2025-08-06T13:02:50+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 35, release rhythm 35, longevity 100
- inputs: {"age_days": 2348, "days_push": 392, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1848, forks 79 (observed 2026-08-28T04:05:44.083212+00:00)

## What it is
A Python add-on package for matplotlib that applies a 'cyberpunk' visual style to plots, including dark-background stylesheets, glowing lines, underglow, gradient fills, and glowing scatter/bar effects. It requires only a few lines of code on top of standard matplotlib usage.

## Use cases
- make matplotlib charts look cyberpunk
- add glow effects to line plots in python
- style matplotlib plots with dark neon theme
- create glowing scatter plots in matplotlib
- add gradient fill to bar charts
- make presentation-ready stylized charts

## When to choose
- You already use matplotlib and want a quick neon/cyberpunk aesthetic
- You want glow, underglow, or gradient effects with minimal code
- You need eye-catching charts for presentations or posters

## When to avoid
- You need a general-purpose styling or theming system beyond this specific aesthetic
- You use plotting libraries other than matplotlib
- You need effects for plot types other than lines, scatter, and bars

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, ui-components
- domain: data-visualization
- platform: python, cross-platform
- tags: matplotlib, plotting, styling, cyberpunk, dataviz, charts, python

## Member repositories
- dhaitz/mplcyberpunk (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:44.083212+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 2026-08-30T03:17:47.644554+00:00, confidence not recorded.
  - readme: https://github.com/dhaitz/mplcyberpunk (fetched 2026-08-28T04:05:44.083212+00:00, sha 47af2eeec72a)
  - registry_pypi: https://pypi.org/pypi/mplcyberpunk/json (fetched 2026-08-29T10:56:39.239591+00:00, sha bd1d8b25f993)
- Data as of 2026-08-30T08:39:29.467469+00:00.