Magnopy
Spin Hamiltonian, ground state, magnons.
What is Magnopy?
Magnopy is a python code that, given spin Hamiltonian in any convention, computes bosonic (magnon) Hamiltonian.
Documentation
Extensive documentation is available at magnopy.org.
Magnopy can be used both as a Python library and as a command line tool.
For details about black box style usage see magnopy-optimize-sd or magnopy-lswt.
For code examples see User guide.
For full public API see API.
To get some support and ask questions see User support.
For summary of releases see Release notes.
Installation
To install Magnopy run (you may need to use pip3):
pip install magnopy
To install with visualization capabilities (recommended) run (you may need to use pip3):
pip install "magnopy[visual]"
User support
If you have a question about Magnopy, have an idea for its improvement, or found a bug, please do not hesitate to contact us via one of the support channels.
Development
We welcome contributions to Magnopy. Pleas visit the development guide or contact authors of the project to find out more.
Metadata
Release files for magnopy 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| magnopy-0.6.1.tar.gz | 120.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| magnopy-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 315.1 kB
Release files / magnopy-0.6.1.tar.gz
| Download URL | magnopy-0.6.1.tar.gz |
|---|---|
| Size | 120.4 kB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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Transparency logRelease files / magnopy-0.6.1-py3-none-any.whl
| Download URL | magnopy-0.6.1-py3-none-any.whl |
|---|---|
| Size | 194.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 19, 2026.
Transparency log