SNF-simulations
SNF-simulations generates antineutrino spectra that can be used to simulate the antineutrino emission from spent nuclear fuel (SNF).
For more information about what this package does and how to use it, see the documentation.
Installation
To use, clone the repository then use the package manager pip to install SNF_simulations.
pip install snf-simulations
If you want to run the dashboard locally, you will need to install the extra dependencies using the following command:
pip install snf-simulations[dashboard]
Dependencies
SNF-simulations depends on the following packages:
numpypandasmendeleev(for accessing periodic table data)matplotlib(for plotting with thesnf-simdemo script)
All dependencies are automatically installed when you install SNF-simulations with pip.
With the dashboard option, the following packages are also installed:
shiny(the dashboard is built using the Shiny framework for Python)shinywidgets(for interactive widgets in the dashboard)plotly(for interactive plots)
Metadata
Release files for snf-simulations 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| snf_simulations-2.0.0.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snf_simulations-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / snf_simulations-2.0.0.tar.gz
| Download URL | snf_simulations-2.0.0.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / snf_simulations-2.0.0-py3-none-any.whl
| Download URL | snf_simulations-2.0.0-py3-none-any.whl |
|---|---|
| Size | 182.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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 16, 2026.
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