Pre-release
This release is a pre-release and may not be stable for production use.
Gen Studio
Visualization tools for GenJAX.
genstudio.plot provides a composable way to create interactive plots using Observable Plot.
Key features:
- Functional, composable plot creation built on Observable Plot (with near 1:1 API correspondence between Python and JavaScript)
- Support for sliders & animations
- Works in Jupyter / Google Colab
- HTML mode which persists plots across kernel restart/shutdown, and a Widget mode which supports Python<>JavaScript interactivity
- Terse layout syntax for organizing plots into rows and columns
- Hiccup implementation for interspersing arbitrary HTML
For detailed usage instructions and examples, refer to the Gen Studio User Guide.
Development
Run yarn watch to compile the JavaScript bundle.
Credits
3 maintainers
Metadata
3 maintainers
Release files for genstudio 2025.1.7.dev202501231506
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| genstudio-2025.1.7.dev202501231506.tar.gz | 494.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| genstudio-2025.1.7.dev202501231506-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / genstudio-2025.1.7.dev202501231506.tar.gz
| Download URL | genstudio-2025.1.7.dev202501231506.tar.gz |
|---|---|
| Size | 494.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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poetry/2.0.1 CPython/3.11.5 Linux/6.8.0-1020-azure
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Release files / genstudio-2025.1.7.dev202501231506-py3-none-any.whl
| Download URL | genstudio-2025.1.7.dev202501231506-py3-none-any.whl |
|---|---|
| Size | 506.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.11.5 Linux/6.8.0-1020-azure
|
