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moyopy

Python binding of Moyo

With conditionsPyPI MathematicsReleased Jul 2026634.5K downloads / moMIT OR Apache-2.0Platform wheel

Decision gist · record as of 2026-08-14

platform wheels — moyopy-0.15.0-cp310-abi3-macosx_10_12_x86_64.whl · moyopy-0.15.0-cp310-abi3-macosx_11_0_arm64.whl · moyopy-0.15.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
v0.15.0 · released 2026-07-13 · Python >=3.10 · 1 runtime deps: typing-extensions

Yes, if you work with crystal structures and need fast symmetry analysis. The package is actively maintained, permissively licensed, has no known vulnerabilities, and integrates well with popular materials-science libraries via optional extras. Medium install friction is typical for compiled scientific packages and not a barrier.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; pre-built wheels available for common platforms (x86_64, ARM64, macOS, Linux, Windows).
  • Medium install friction due to compiled wheels; the package is actively maintained with a recent release (32 days old) and supports current Python versions (3.10–3.14).
  • Requires only typing-extensions as a runtime dependency.

License · maintenance · safety

MIT OR Apache-2.0 (permissive) — Dual-licensed under MIT or Apache-2.0 (permissive), so you may use, modify, and distribute the package freely under either license's terms with minimal restrictions.

last release 2026-07-13 (32 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 634,452 downloads/mo, #5,644 on PyPI

Verify before relying

pip install moyopy

import moyopy
# moyopy provides crystal symmetry analysis via the Moyo engine
  • Specific API surface and symmetry-finding capabilities beyond the general description.
  • Performance characteristics and typical use-case scale (e.g., unit cell sizes, structure complexity).
  • Whether optional interface extras (pymatgen, ASE conversion) are production-ready or experimental.
Same gist for agents: .md · .json

What it is and what it does

Moyopy wraps Moyo, a fast and robust crystal symmetry finder, into a Python interface for analyzing crystallographic structures. It identifies symmetry operations and space groups in crystal lattices, making it useful for materials science and computational chemistry workflows that need to understand or exploit crystal symmetries.

The package is in Beta status and actively maintained. It supports Python 3.10 through 3.14 with pre-built wheels for major platforms, keeping install friction moderate. Optional extras allow conversion of structures to Pymatgen or ASE formats for integration with broader materials-science pipelines.

Use it for

  • Identify space groups and symmetry operations in crystal structures for materials discovery workflows.
  • Validate or normalize crystallographic data by detecting and applying symmetry constraints.
  • Convert crystal structures to Pymatgen or ASE objects for downstream analysis or visualization.
  • Accelerate high-throughput computational materials screening by leveraging fast symmetry detection.
  • Analyze symmetry properties in computational chemistry simulations or density-functional-theory results.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you work with crystal structures and need fast symmetry analysis.

The package is actively maintained, permissively licensed, has no known vulnerabilities, and integrates well with popular materials-science libraries via optional extras. Medium install friction is typical for compiled scientific packages and not a barrier.

Install

moyopy on PyPI

Before you install

Medium install friction due to compiled wheels; the package is actively maintained with a recent release (32 days old) and supports current Python versions (3.10–3.14). Requires only typing-extensions as a runtime dependency.

Requires Python 3.10 or later; pre-built wheels available for common platforms (x86_64, ARM64, macOS, Linux, Windows).

License in practice

Dual-licensed under MIT or Apache-2.0 (permissive), so you may use, modify, and distribute the package freely under either license's terms with minimal restrictions.

Quickstart

pip install moyopy

import moyopy
# moyopy provides crystal symmetry analysis via the Moyo engine

Verify before relying

  • Specific API surface and symmetry-finding capabilities beyond the general description.
  • Performance characteristics and typical use-case scale (e.g., unit cell sizes, structure complexity).
  • Whether optional interface extras (pymatgen, ASE conversion) are production-ready or experimental.

Package facts

LicenseMIT OR Apache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependencies
1 package
typing-extensions
MaintenanceActively maintained 32 days since the last release
First released
Downloads634,452 / month, #5,644 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: MathematicsTopic :: Scientific/Engineering :: Physics

Evidence: moyopy-0.15.0-cp310-abi3-macosx_10_12_x86_64.whl; moyopy-0.15.0-cp310-abi3-macosx_11_0_arm64.whl; moyopy-0.15.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; moyopy-0.15.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; moyopy-0.15.0-cp310-abi3-win_amd64.whl

Tags

Capabilities
crystal symmetry detectionspace group findercrystallographic symmetry analysismoyo python bindingcrystal structure symmetrysymmetry operations findercrystallography python library
Topics
crystallographymaterials-sciencesymmetry-analysis

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See also spglib · pyxtal · seekpath · gemmi · symfc · mp-api · pymatgen-core · chgnet · phonopy · pyocse