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dhaitz/mplcyberpunk

"Cyberpunk style" for matplotlib plots observed · 2026-08-28

github.com/dhaitz/mplcyberpunk · Python observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 35
  • 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 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2348
  • days_rel: n/a
  • days_push: 392
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1848 stars · 79 forks observed · 2026-08-28

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

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

library · maturity active

data-visualization ui-components data-visualization python cross-platform matplotlib plotting styling cyberpunk dataviz charts python

2 sources

Member repositories

RepositoryRoleHealth v2
dhaitz/mplcyberpunkmain48

For agents

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

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