Welcome to beautiplot

Beautiful, Consistent, and Reproducible Scientific Plots with Python.

Beautiplot is a Python library for beautiful, consistent, and publication-ready scientific plots. Built on Matplotlib, it offers high-level functions, reproducible styles, and easy customization - perfect for researchers, students, and engineers.

Features

• Unified, professional style out of the box
• High-level functions for subplots, colorbars, labels, and more
• Publication-quality sizing and formatting
• Centralized configuration for reproducibility
• Fully customizable and extensible

Installation

The package can be installed from PyPI, either via pip

pip install beautiplot

or via uv

uv add beautiplot

Quick Example

import beautiplot.plot as bp
import numpy as np

t = np.linspace(0, 10, 1000)
y = 5 * np.exp(-t / 2) * np.cos(2 * np.pi * t)
fig, ax = bp.newfig(left=40, bottom=35)
ax.plot(t, y, label='Damped Oscillation')
ax.set_xlabel('Time $t$ / s')
ax.set_ylabel('Amplitude $A(t)$ / cm')
bp.legend(ax)
bp.save_figure(fig, 'damped_oscillation.pdf')

Documentation

For a full overview, visit the documentation.

• Getting Started: Install beautiplot and make your first plot.
• Tutorials: Step-by-step guides for common tasks.
• API Reference: Detailed documentation for all functions.

Make your science beautiful, reproducible, and effortless - with beautiplot!