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pyplotrs

CI PyPI Python versions License: MIT Docs

A blazingly fast, publication-quality plotting library for Python, powered by Rust.

A four-panel pyplotrs figure: damped sinusoids with a legend, a categorical bar chart, a histogram, and a scatter plot

pyplotrs (pronounced py-plotters) is a from-scratch plotting library with a clean, modern Python API and a Rust rendering core. It is built for one thing above all: beautiful static figures you can drop straight into a paper, a slide, or a web page — and, uniquely, PDF output whose text stays real, selectable, and editable in Illustrator (genuine embedded/subset fonts, never outlines).

import pyplotrs as pp

fig, ax = pp.subplots()
ax.line([0, 1, 2, 3], [0, 1, 4, 9], label="y = x²")
ax.scatter([0, 1, 2, 3], [0, 1, 4, 9])
ax.set(title="Hello, pyplotrs", xlabel="x", ylabel="y")
ax.legend()

fig.save("hello.pdf")   # editable vector text
fig.save("hello.svg")
fig.save("hello.png")   # 200 dpi by default
fig.save("hello.html")  # self-contained, selectable text

Why pyplotrs?

  • Editable-text PDF — text is embedded and subset, not converted to outlines, so you can open a saved PDF in Illustrator/Inkscape and select, re-type, or restyle every label. pdftotext extracts it; screen readers can read it (save(..., tagged=True) writes accessible, tagged PDF).
  • Publication-quality defaults — a colorblind-safe palette, sensible type scale, despined axes, and "nice-number" ticks out of the box. No styling required to get a figure that looks finished.
  • Fast — the hot per-point/per-pixel loops live in Rust. A million-point line exports to PDF in ~0.5 s and SVG in ~0.25 s; a million-point scatter rasterizes to PNG in ~0.15 s. The single-pass layout engine means the lead over matplotlib grows with panel count, and the GIL is released for both rendering and the compute kernels, so a thread pool over figures actually parallelizes. See benchmarks for the measured table, the caveats that come with it, and the one case where export is slow — a polyline whose consecutive points jump across the panel.
  • Portable output — the chosen font is embedded into every saved file (PDF/SVG/PNG/HTML), so a figure looks identical on any machine, regardless of the fonts installed there.
  • Real LaTeX math$...$ spans are typeset by a faithful, MathJax-grade engine driven by the math font's OpenType MATH table, and stay selectable text in the output.
  • No global state — every figure is an explicit object. No pyplot current-figure surprises; the same API works cleanly under threads.

Features

Area What you get
Lines & points line, scatter, step, stairs, stem, loglog/semilogx/semilogy
Bars & categories bar, barh, broken_barh, eventplot, plus automatic categorical axes from string data
Distributions hist, boxplot, violinplot (Rust KDE), pie
Uncertainty errorbar, fill_between, fill_betweenx, stackplot
Fields & images imshow + colorbar, matshow, spy, pcolormesh, hist2d, hexbin, contour, contourf, quiver, streamplot
Guides & shapes axhline/axvline, axhspan/axvspan, axline, hlines/vlines, rectangle, circle, ellipse, polygon, arrow
Polar plot, scatter on a configurable dial
3D scatter, plot, surface, bar3d, plot_wireframe, contour3d, plot_trisurf, quiver3d, voxels — projected to editable 2D vectors, with an interactive HTML viewer
Axes Linear, log, symlog, logit, date and categorical scales; 8 tick formatters; 4 color norms
Layout Grids with ratios, subplot_mosaic, GridSpec, twin axes, insets, secondary axes
Themes default, grayscale, dark, plus Theme.with_(...) to derive your own
Color 127 exact colormaps, 25 categorical palettes, Oklab/CAM16-UCS conversion and CVD checks
Annotations text, annotate with callout arrows; LaTeX math anywhere
Rich text rich/bold/italic/mark to style a substring of any label — math included
Animation animate(render, frames) → GIF / APNG
Formats PDF, SVG, PNG (with DPI), and self-contained HTML

Installation

pip install pyplotrs

Pre-built wheels ship the Rust core and the bundled fonts — no toolchain required. See the installation guide for building from source.

Documentation

Full docs live at https://tkclam.github.io/pyplotrs/:

To build the docs locally:

pip install -e ".[docs]"
mkdocs serve

License

Licensed under the MIT license (LICENSE).

pyplotrs redistributes a few third-party assets, each under a permissive license. Every bundled asset's license text ships in the wheel under pyplotrs-<version>.dist-info/licenses/, alongside THIRD-PARTY-NOTICES.md, which names each of the compiled-in Rust crates and the license it is taken under:

Asset License
Liberation Sans, Fira Math, STIX Two Math (bundled fonts) SIL Open Font License 1.1
DejaVu Sans subset (bundled math symbols) Bitstream Vera license
viridis/plasma/inferno/magma/cividis CC0 1.0 (public domain)
colorcet colormaps (cet_*) CC-BY 4.0 — attribution required
cmocean (cmo_*) · seaborn (sns_*) MIT · BSD-3-Clause
MathJax 3.2.2 (inlined into HTML math output) Apache-2.0
krilla (PDF backend, vendored) MIT OR Apache-2.0
~110 Rust crates compiled into the extension MIT / Apache-2.0 / BSD / Zlib / …

Full details in THIRD-PARTY-NOTICES.md and the license page.

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