nucleai
AI Support for Fusion Experiments
nucleai is a codegen-first library designed to empower fusion research with advanced AI capabilities. It provides a comprehensive workflow for extracting features from fusion data, generating rich descriptions, and creating vector embeddings for both feature images and text.
Key Features
- Natural Language Interface: Ask questions about data and test hypotheses using natural language.
- Data Search & Retrieval: Advanced search capabilities using text and feature shapes.
- Analysis & Display: Automated analysis and visualization of experimental data.
- Feature Extraction: Automated extraction of significant features from experimental fusion data.
- Vector Embeddings: Generation of embeddings for feature images and text descriptions to enable semantic understanding.
- Codegen-First Design: Built to be driven by AI agents and code generation tools, allowing users to request complex, novel plots and processing pipelines on demand.
Getting Started
(Instructions for installation and usage will be added here)
Metadata
Release files for nucleai 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nucleai-0.0.1.tar.gz | 5.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nucleai-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.4 kB
Release files / nucleai-0.0.1.tar.gz
| Download URL | nucleai-0.0.1.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
50a4b7814e2a8165db1bf3b6e2f7f1386b9213c40fa57d97093f9aecd02f92c4
|
|
BLAKE2b-256 checksum How to use checksums |
9105dd79314d8d9db308b12f79b85b6e5566c65fcd7f7a3ef119356462164326
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 24, 2025.
Transparency logRelease files / nucleai-0.0.1-py3-none-any.whl
| Download URL | nucleai-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
31f323b8e8792bd7a7824494468dd737dae519af66e31ce86bf761cf8bb5cf65
|
|
BLAKE2b-256 checksum How to use checksums |
8426502300a607ca1bfdc05316d95823496caf12311eafb3db2340eb53a88cff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 24, 2025.
Transparency logSecurity for nucleai 0.0.1
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for nucleai-0.0.1.tar.gz
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 Nov 24, 2025.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.