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.

Installation

Scivianna can be installed directly from PyPI using pip:

pip install scivianna

Optional Dependencies

Scivianna offers several optional dependency sets for specific features:

# Agent/LLM features
pip install scivianna[agent]

# PyVista 3D visualization
pip install scivianna[pyvista]

# Testing and development
pip install scivianna[test]

# Code coupling with C3PO
pip install scivianna[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()

Running the Demonstrator

Scivianna includes a scivianna_example module with several demonstration cases.

It can be opened online at: https://huggingface.co/spaces/tmoulignier/scivianna

or by running:

from scivianna_example.demo import make_demo

demo = make_demo()
demo.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

scivianna_example Module

The scivianna_example module provides ready-to-use examples showcasing Scivianna's capabilities:

Available Examples

Example	Description
Europe Grid	Plots an interactive Europe map displaying electricity production and consumption per country with weekly time-steps. Hover over countries to see values.
Medcoupling	Demonstrates MED file format handling with three synchronized views. Click in one view to offset others at the click location.
Mandelbrot	Computes the Mandelbrot set on a 2D grid and converts it to polygons for visualization.

License

Scivianna is developed by CEA (Commissariat à l'énergie atomique et aux énergies alternatives).

Contact

• Maintainer: Thibault Moulignier
• Email: Thibault.Moulignier@cea.fr