moyopy
Python binding of Moyo
Decision gist · record as of 2026-08-14
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
Alternatives
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.
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.
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
| License | MIT OR Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 32 days since the last release |
| First released | |
| Downloads | 634,452 / month, #5,644 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “space group finder”
- moyopyMoyopy is a Python binding for Moyo, a crystal symmetry finder that…
- spglibspglib provides Python bindings to a C library for identifying and…
- azureml-train-automlAutomatically discovers and trains the best machine learning model…
Give your agent the search over MCP, or paste the wish link into any chat.
More Mathematics packages
NetworkX provides data structures and algorithms for creating, analyzing, and manipulating graphs and networks, supporting everything from simple undirected graphs to complex directed and weighted networks.
kiwisolver is a Python binding to a fast C++ implementation of the Cassowary constraint solver, enabling you to solve systems of linear constraints and inequalities.
Install it if you need to solve constraint systems; skip it if you only need simple linear algebra.
SymPy is a Python library for symbolic mathematics, performing algebraic manipulation, calculus, equation solving, and mathematical expression simplification without numerical approximation.
ContourPy calculates contours of 2D quadrilateral grids using C++11 algorithms wrapped in Python, offering serial and multithreaded implementations without requiring Matplotlib as a dependency.
PyTorch provides GPU-accelerated tensor computation and automatic differentiation for building and training deep neural networks in Python.
onnxruntime loads and executes Open Neural Network Exchange (ONNX) models with a focus on inference performance across CPUs and accelerators.
Install it if you have ONNX models to run in production or development.
See also spglib · pyxtal · seekpath · gemmi · symfc · mp-api · pymatgen-core · chgnet · phonopy · pyocse