Luminary Cloud's Python Software Development Kit (SDK) allows you to access many of the features within our platform programmatically (i.e. without needing to go through the graphical user interface in your browser).
Our Python SDK provides a secure abstraction layer, a set of simulation-specific data structures, and all the necessary functionality to enable automation via simple Python scripts.
It allows you to create your own applications leveraging Luminary (such as importing geometry and creating meshes, running and post-processing simulations, running explorations and creating surrogate models) and connect Luminary simulations to pre- and post-processing tools that are already part of your own workflows.
The Jupyter widget provided by this package allows you to perform interactive visualization of your geometry, meshes, and simulations conveniently and programmatically within the Jupyter environment.
Metadata
Release files for luminarycloud-jupyter 0.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| luminarycloud_jupyter-0.1.22.tar.gz | 3.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| luminarycloud_jupyter-0.1.22-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 MB
Release files / luminarycloud_jupyter-0.1.22.tar.gz
| Download URL | luminarycloud_jupyter-0.1.22.tar.gz |
|---|---|
| Size | 3.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / luminarycloud_jupyter-0.1.22-py3-none-any.whl
| Download URL | luminarycloud_jupyter-0.1.22-py3-none-any.whl |
|---|---|
| Size | 3.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
c465e0156a5c21a6f11965304c8eb2c9e65df8160a81e257e5a4c6486b9fe25a
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| 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 Feb 22, 2026.
Transparency log