Skip to main content

A modern Python reimagining of the XBS ball-and-stick crystal structure viewer

Project description

hofmann

CI Documentation PyPI

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, producing publication-quality static output (SVG, PDF, PNG) and trajectory animations (GIF, MP4) via matplotlib.

LLZO garnet with ZrO6 polyhedra rendered with hofmann

Features

  • Static publication-quality output (SVG, PDF, PNG) via matplotlib
  • Trajectory animations (GIF, MP4) with per-frame colouring
  • XBS .bs and .mv (trajectory) file formats
  • Optional ASE Atoms and 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 ASE interoperability:

pip install "hofmann[ase]"

For pymatgen interoperability:

pip install "hofmann[pymatgen]"

For animation export (GIF/MP4):

pip install "hofmann[animation]"

Requirements

  • Python 3.11+
  • numpy >= 1.24
  • matplotlib >= 3.7
  • scipy >= 1.10
  • ase >= 3.22 (optional)
  • pymatgen >= 2024.1.1 (optional)
  • imageio >= 2.30 (optional, for GIF animation export)
  • imageio-ffmpeg >= 0.5 (optional, for MP4 animation export)

Quick start

From an XBS file

from hofmann import StructureScene

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

From ASE Atoms

from ase.build import bulk
from hofmann import StructureScene, BondSpec

atoms = bulk("Si", "diamond", a=5.43)
bonds = [BondSpec(species=("Si", "Si"), max_length=2.8)]
scene = StructureScene.from_ase(atoms, bonds)
scene.render_mpl("si.pdf")

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hofmann-0.16.0.tar.gz (103.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hofmann-0.16.0-py3-none-any.whl (117.0 kB view details)

Uploaded Python 3

File details

Details for the file hofmann-0.16.0.tar.gz.

File metadata

  • Download URL: hofmann-0.16.0.tar.gz
  • Upload date:
  • Size: 103.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.16.0.tar.gz
Algorithm Hash digest
SHA256 a51e2f3abbd35ca065c62413e5cd0a24cfa563bb30ca8ae399069e6cc398ab5a
MD5 dd347e8af60bd0af5e7fefbc7055e2ce
BLAKE2b-256 8190e1875eede157d43f47ac7933a904752363e71d7ad26f53885408fafb7967

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.16.0.tar.gz:

Publisher: publish.yml on bjmorgan/hofmann

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hofmann-0.16.0-py3-none-any.whl.

File metadata

  • Download URL: hofmann-0.16.0-py3-none-any.whl
  • Upload date:
  • Size: 117.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 60ba466b4f5a9bfa8c12202653fb3cfe664cbde0a200463291777370abad759a
MD5 60b22581334b3cf20d976b8ec3f0fa55
BLAKE2b-256 30f70eddd2d8d3d65ab1261ecab0be3a580da49d0a0611f829fbb83c42f75d4c

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.16.0-py3-none-any.whl:

Publisher: publish.yml on bjmorgan/hofmann

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page