NetKet
NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques. It is a Python library built on JAX.
NetKet is an affiliated project to numFOCUS.
- Homepage: https://www.netket.org
- Citing: https://www.netket.org/cite/
- Documentation: https://netket.readthedocs.io/en/latest/index.html
- Tutorials: https://netket.readthedocs.io/en/latest/tutorials/gs-ising.html
- Examples: https://github.com/netket/netket/tree/master/Examples
- Source code: https://github.com/netket/netket
Installation and Usage
NetKet runs on MacOS and Linux and requires Python 3.11 or later. We recommend installing NetKet using pip or uv. Do not use conda as JAX has known issues when installed through conda.
pip install --upgrade pip
pip install netket
With GPU support (Linux only):
pip install 'netket[cuda]'
Development version:
pip install git+https://github.com/netket/netket.git
For detailed installation instructions including GPU setup, see our installation guide.
Getting Started
To get started with NetKet, we recommend you give a look at our tutorials page, by running them on your computer or on Google Colaboratory. There are also many example scripts that you can download, run and edit that showcase some use-cases of NetKet, although they are not commented.
If you want to get in touch with us, feel free to open an issue or a discussion here on GitHub, or to join the MLQuantum slack group where several people involved with NetKet hang out. To join the slack channel just accept this invitation
License
2 maintainers
Release files for NetKet 3.22.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| netket-3.22.4.tar.gz | 612.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| netket-3.22.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / netket-3.22.4.tar.gz
| Download URL | netket-3.22.4.tar.gz |
|---|---|
| Size | 612.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / netket-3.22.4-py3-none-any.whl
| Download URL | netket-3.22.4-py3-none-any.whl |
|---|---|
| Size | 969.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Aug 17, 2026.
Transparency log
