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 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 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]"

Requirements

  • Python 3.11+
  • numpy >= 1.24
  • matplotlib >= 3.7
  • scipy >= 1.10
  • ase >= 3.22 (optional)
  • 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 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-0.14.1.tar.gz (94.8 kB view details)

Uploaded Source

Built Distribution

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

hofmann-0.14.1-py3-none-any.whl (105.5 kB view details)

Uploaded Python 3

File details

Details for the file hofmann-0.14.1.tar.gz.

File metadata

  • Download URL: hofmann-0.14.1.tar.gz
  • Upload date:
  • Size: 94.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.14.1.tar.gz
Algorithm Hash digest
SHA256 f7c2299108d36a47ad3bf98d504e1dec3a526a9a44bc1861b65ba0c0daff944d
MD5 fb936a963949978adca7a96acae902f7
BLAKE2b-256 8263453e89ae787ac374eb8ef6d26e74d12c3d69f468a23cbe6b58810d5a43da

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.14.1.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-0.14.1-py3-none-any.whl.

File metadata

  • Download URL: hofmann-0.14.1-py3-none-any.whl
  • Upload date:
  • Size: 105.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.14.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a0b350f53dfc7d0db8766c388d8a0b75f14490260dc8be67f39d800223a04411
MD5 b3447a3e57ccef7aa3fab92fa0f2da96
BLAKE2b-256 7e22762143221859aa33b9034b9c709eb7dd59576c2155d931f11423a2459824

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.14.1-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