Skip to main content

mumax3c

Marijan Beg1,2, Samuel Holt2,3, Swapneel Amit Pathak2,4, Martin Lang2, Jeroen Mulkers5, Jonathan Leliaert5, Vanessa Nehruji2, Gary Downing2, Ryan A. Pepper6, Martin Lang2, Thomas Kluyver7, and Hans Fangohr2,4,8

1 Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
2 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK
3 Department of Physics, University of Warwick, Coventry CV4 7AL, UK
4 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
5 Faculty of Sciences, Ghent University, Krijgslaan 281, S12, 9000 Ghent, Belgium
6 Research Software Group, University of Birmingham, Birmingham B15 2TT, UK
7 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
8 Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany

Description Badge
Tests tests
Linting pre-commit.ci status
Code style: black
Releases PyPI version
Anaconda-Server Badge
Coverage codecov
Documentation Documentation
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

mumax3c is a Python package, integrated with Jupyter, providing:

It is available on Windows, MacOS, and Linux. It requires Python 3.8+.

Documentation

APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.

Installation, testing, and upgrade

We recommend installation using conda package manager. Instructions can be found in the documentation.

Binder

This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.

YouTube

YouTube video tutorials are available on the Ubermag channel.

Support

If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.

Contributions

All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.

Contributors:

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

  1. M. Beg, M. Lang, and H. Fangohr. Ubermag: Towards more effective micromagnetic workflows. IEEE Transactions on Magnetics 58, 7300205 (2022).

  2. M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).

  3. Marijan Beg, Samuel Holt, Swapneel Amit Pathak, Martin Lang, Jeroen Mulkers, Jonathan Leliaert, Vanessa Nehruji, Gary Downing, Ryan A. Pepper, Martin Lang, Thomas Kluyver, and Hans Fangohr. mumax3c: Python interface to mumax3 integrated into Jupyter notebook. DOI: 10.5281/zenodo.3539461 (2025).

Acknowledgements

  • OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme Grant on Skyrmionics (EP/N032128/1)

Release files for mumax3c 0.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mumax3c 0.4.0
File Size Uploaded
mumax3c-0.4.0.tar.gz 23.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mumax3c 0.4.0
File Interpreter ABI Platform
mumax3c-0.4.0-py3-none-any.whl Python 3 none any Details

Total release size: 51.8 kB

Release files / mumax3c-0.4.0.tar.gz

Download URL mumax3c-0.4.0.tar.gz
Size 23.9 kB
Tags Source
SHA-256 checksum
How to use checksums
dd2a1aa74233093497d22856a13b611281ca34d9fea84e6955a565fc2495023f
BLAKE2b-256 checksum
How to use checksums
d743fd69c1dce5cf01112f464f41e6f0f56e89c0495c519922dfec2e433a0e79
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 1, 2025.

Transparency log

Release files / mumax3c-0.4.0-py3-none-any.whl

Download URL mumax3c-0.4.0-py3-none-any.whl
Size 28.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bc492a0f3e9f57e4fd1a844b26c9a8b0e0180ef856583c877b056cdd48f9ec8b
BLAKE2b-256 checksum
How to use checksums
63884ed2cb0dbe4e13b002664dfcf39800064ba018c90915f0f4e34208ca5f26
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 1, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.4.0 This release

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page