scivianna 0.5.4

Python generic module to visualize simulation geometries and results.

Scivianna: SCIentific VIsualizer for simulAtioN aNAlysis

Scivianna is an open-source Python simulation geometry and result visualizer based on Holoviz Panel. It provides a powerful and flexible environment for visualizing 1D plots and 2D geometries simultaneously, with support for real-time simulation result visualization through code coupling.

Quick Start

Basic Usage

from scivianna.layout.gridstack import GridStackLayout
from scivianna.panel.visualisation_panel import VisualizationPanel
from scivianna.slave import ComputeSlave

# Create a slave with your data interface
slave = ComputeSlave(YourInterface)

# Create a visualization panel
panel = VisualizationPanel(slave, name="My Panel")

# Create a layout and add the panel
layout = GridStackLayout({"panel1": panel})

# Display
layout.show()

Key Features

1. Simultaneous 1D and 2D Visualization

Visualize line plots and 2D geometries together in an integrated dashboard.

2. Real-Time Code Coupling

Connect to simulations in real-time using the C3PO coupling platform and ICOCO interface. The visualizer can receive field updates during simulation execution.

3. Generic Data Interfaces

Scivianna provides flexible interfaces to read various data formats:

• MED (Salome MED file format)
• VTK (Visualization Toolkit files)
• CSV (Structured time-series data)
• Custom interfaces via GenericInterface base class

4. Remote Server Access

Access the visualizer from a distant computer using Panel's server/client architecture. Perfect for running simulations on HPC clusters while visualizing locally.

5. Extensible Architecture

Extensions can be added to panels for additional functionality:

• Field selectors
• Line selection tools
• File loaders
• Layout management
• AI assistant integration

Code Coupling with C3PO

Scivianna integrates with the C3PO coupling tool through the ICOCO interface:

from scivianna.coupling.icoco import LayoutProblem
from scivianna.layout.gridstack import GridStackLayout

# Create your layout
layout = GridStackLayout(panels)

# Create the coupling problem
problem = LayoutProblem(layout, title="Coupled Simulation")

# Use with C3PO
# problem.initialize()
# problem.setInputMEDDoubleField("panel_name@field_name", field_data)

Requirements

• Python >= 3.8, < 4
• panel
• holoviews
• bokeh / jupyter_bokeh
• matplotlib
• numpy / pandas
• shapely / geopandas
• rasterio
• icoco (for coupling features)
• panel_material_ui

Repository Organization

scivianna/
├── src/
│   └── scivianna/              # Main package source code
│       ├── agent/              # LLM/Agent integration tools
│       ├── component/          # UI components (GridStack, Overlay, SplitJS, R3F)
│       ├── coupling/           # C3PO/ICOCO coupling interface
│       ├── data/               # Data containers and workers
│       ├── extension/          # Panel extensions (axes, layout, file loader, etc.)
│       ├── icon/               # UI icons
│       ├── input_file/         # Sample input files
│       ├── interface/          # Data interfaces (MED, VTK, CSV, generic)
│       ├── layout/             # Layout managers (GridStack, Split)
│       ├── panel/              # Visualization panels and GUI
│       ├── plotter_1d/         # 1D plotting backends
│       ├── plotter_2d/         # 2D plotting backends (grid, polygon)
│       └── utils/              # Utilities (mesh tools, serialization, etc.)
│
├── tests/                      # Test suite
├── utils/                      # Development utilities
└── results/                    # Example outputs

Core Modules

Module	Purpose
panel/	Visualization panels with GUI controls, extensions, and overlay components
layout/	Layout managers for arranging multiple panels (GridStack, Split)
interface/	Data interfaces for reading various file formats (MED, VTK, CSV)
coupling/	ICOCO-compatible interface for code coupling with C3PO
data/	Data containers and workers for handling simulation data
extension/	Extendable components for axes, field selection, file loading, etc.
plotter_1d/ & plotter_2d/	Plotting backends using Bokeh and Matplotlib
component/	Custom Panel components including React Three Fiber integration