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Ball-and-stick crystal structure viewer for Python. Publication-quality matplotlib rendering with vector SVG/PDF output, pymatgen interoperability, and Jupyter notebook support.

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hofmann

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A modern Python reimagining of Methfessel's XBS ball-and-stick viewer (1995), named after August Wilhelm von Hofmann who built the first ball-and-stick molecular models in 1865.

hofmann renders crystal and molecular structures as depth-sorted ball-and-stick images with static, publication-quality vector output (SVG, PDF) via matplotlib.

LLZO garnet with ZrO6 polyhedra rendered with hofmann

Features

  • Static publication-quality output (SVG, PDF, PNG) via matplotlib
  • XBS .bs and .mv (trajectory) file formats
  • Optional pymatgen Structure interoperability
  • Periodic boundary conditions with automatic image expansion
  • Coordination polyhedra with configurable shading and slab clipping
  • Unit cell wireframe rendering
  • Interactive viewer with mouse rotation, zoom, and keyboard controls
  • Orthographic and perspective projection

Installation

pip install hofmann

For pymatgen interoperability:

pip install "hofmann[pymatgen]"

Requirements

  • Python 3.11+
  • numpy >= 1.24
  • matplotlib >= 3.7
  • scipy >= 1.10
  • pymatgen >= 2024.1.1 (optional)

Quick start

From an XBS file

from hofmann import StructureScene

scene = StructureScene.from_xbs("structure.bs")
scene.render_mpl("output.svg")

From a pymatgen Structure

from pymatgen.core import Lattice, Structure
from hofmann import StructureScene, BondSpec

lattice = Lattice.cubic(5.43)
structure = Structure(
    lattice, ["Si"] * 8,
    [[0.0, 0.0, 0.0], [0.5, 0.5, 0.0],
     [0.5, 0.0, 0.5], [0.0, 0.5, 0.5],
     [0.25, 0.25, 0.25], [0.75, 0.75, 0.25],
     [0.75, 0.25, 0.75], [0.25, 0.75, 0.75]],
)

bonds = [BondSpec(species=("Si", "Si"), max_length=2.8)]
scene = StructureScene.from_pymatgen(structure, bonds)
scene.render_mpl("si.pdf")

Controlling the view

scene.view.look_along([1, 1, 0])   # View along [110]
scene.view.zoom = 1.5              # Zoom in
scene.view.perspective = 0.3       # Mild perspective
scene.render_mpl("rotated.svg")

Interactive viewer

view, style = scene.render_mpl_interactive()

# Reuse the adjusted view for static output:
scene.view = view
scene.render_mpl("final.svg", style=style)

Documentation

Full documentation is available at hofmann.readthedocs.io, covering:

Citing hofmann

If you use hofmann in published work, please cite it:

B. J. Morgan, hofmann, https://github.com/bjmorgan/hofmann

A machine-readable citation is available in CITATION.cff.

Licence

MIT. See LICENSE for details.

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Ball-and-stick crystal structure viewer for Python. Publication-quality matplotlib rendering with vector SVG/PDF output, pymatgen interoperability, and Jupyter notebook support.

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