pyplotrs
A blazingly fast, publication-quality plotting library for Python, powered by Rust.
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.
pdftotextextracts 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
pyplotcurrent-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/:
- Quickstart — zero to a saved figure
- Tutorial — one publication figure, built step by step
- Notebooks — eight runnable notebooks, committed with their output: quickstart, coming from matplotlib (rendered side by side against it), plot types, layout, styling and color, text and math, animation, and output and performance
- Coming from matplotlib — the differences, with a translation table
- User guide — layout, plot types, scales, themes, 3D, saving
- Gallery — every figure with runnable source
- API reference
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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