A KIT (Karlsruhe Institute of Technology) corporate-design matplotlib styling toolkit — a validated color palette, consistent spines/ticks/ gridlines, LaTeX text in a modern sans font, and a few building-block functions (figure titles with a parameters subtitle, a same-size colorbar helper, an outside-axes legend, panel labels) for producing figures that look consistent across a thesis and a slide deck.

Requires a local LaTeX toolchain (latex + dvipng) — plotstyle always renders text through real LaTeX, there's no fallback.

import numpy as np
import plotstyle as ps

ps.use()  # once, before creating any figure

fig, ax = ps.new_figure(
    "thesis-single",
    title="Measured signal",
    params={"N": 512, "seed": 42},
)
x = np.linspace(0, 10, 200)
ax.plot(x, np.sin(x), label="signal")
ax.set_xlabel("Time (s)")
ax.set_ylabel(r"Amplitude $A(t)$")
ps.style_legend(ax, title="Series")

ps.savefig(fig, "plots/measured_signal", formats=("pdf",))

This package is developed as part of the ETPlot monorepo, where it is paired with gallery, a static HTML gallery generator that turns directories of plot PDFs into a browsable website — plotstyle has no code dependency on gallery, the two only meet on disk via the PDF (and optional metadata.yaml) files a plotstyle script writes out. See that repo's examples/plotstyle_showcase.ipynb for a fully rendered tour of every function, and plotstyle/CLAUDE.md for the full API reference.