Install

pip install scpn-fusion

# Grad-Shafranov equilibrium kernel
scpn-fusion kernel

PyPI package scpn-fusion (v4.0.0). Inspect the public source at github.com/anulum/scpn-fusion-core.

Source and licensing

Reviewers
Peer reviewers and validation engineers can inspect the public reports, commands, checksums, and source without an access request.
Academic
Researchers can use and extend the public AGPL-3.0 source with exact-release citation and the documented evidence boundaries.
Commercial
A separate commercial licence is available for proprietary reactor programs and closed workflows; it changes terms, not source visibility.

Citation

Please cite the software when used in academic work:

@software{sotek2026scpnfusion,
  author = {Šotek, Miroslav},
  title = {SCPN-Fusion-Core: Evidence-Bounded Neuro-Symbolic Tokamak Control},
  year = {2026},
  version = {3.11.0},
  url = {https://anulum.li/scpn-fusion-core}
}