LN QT
The Livenodes QT package provides interaction and visualization nodes. Most notably online annotation and display of any channels data.
LiveNodes are small units of computation for digital signal processing in python. They are connected multiple synced channels to create complex graphs for real-time applications. Each node may provide a GUI or Graph for live interaction and visualization.
Any contribution is welcome! These projects take more time, than I can muster, so feel free to create issues for everything that you think might work better and feel free to create a MR for them as well!
Have fun and good coding!
Yale
Installation
pip install ln_qt
Docs
You can find the docs here.
Restrictions
None, just pure python and QT. Albeit, these make most sense when used with Smart-Studio.
1 maintainer
Metadata
1 maintainer
Release files for LN-Qt 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ln_qt-1.0.2.tar.gz | 51.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ln_qt-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 83.5 kB
Release files / ln_qt-1.0.2.tar.gz
| Download URL | ln_qt-1.0.2.tar.gz |
|---|---|
| Size | 51.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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/3.12.9
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Transparency logRelease files / ln_qt-1.0.2-py3-none-any.whl
| Download URL | ln_qt-1.0.2-py3-none-any.whl |
|---|---|
| Size | 32.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
25fdf0210fac8cecc346fafd5a181c02e2858c0ff482859dc44dd061bd28707e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 12, 2025.
Transparency log
