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 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.

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-0.13.1.tar.gz (92.7 kB view details)

Uploaded Source

Built Distribution

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

hofmann-0.13.1-py3-none-any.whl (103.6 kB view details)

Uploaded Python 3

File details

Details for the file hofmann-0.13.1.tar.gz.

File metadata

  • Download URL: hofmann-0.13.1.tar.gz
  • Upload date:
  • Size: 92.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.13.1.tar.gz
Algorithm Hash digest
SHA256 df81c767a2ca3ff75f2433684252a324ef23c66d09164da676b2aa7a95f290bb
MD5 9f7c417570642e5351cafda950992b4f
BLAKE2b-256 9ac2f6e6d75389e1590c108a6829ff3a9118a28fa1c5bdaa405f7ef6fd0eee41

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.13.1.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-0.13.1-py3-none-any.whl.

File metadata

  • Download URL: hofmann-0.13.1-py3-none-any.whl
  • Upload date:
  • Size: 103.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hofmann-0.13.1-py3-none-any.whl
Algorithm Hash digest
SHA256 97952523b2928686127872694d5fc6ab9a6024a80315a1c41fe89f533573b1a1
MD5 c33c721da89c34d3b7e5864123a4b894
BLAKE2b-256 c277dffdf701047a28836e9f1f2e69990c22d948b0276feef976aefc42a9975f

See more details on using hashes here.

Provenance

The following attestation bundles were made for hofmann-0.13.1-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