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, 2D, 3D and DataFrame Visualization

Visualize line plots, 2D geometries, 3D VTK-based plots, and pandas DataFrames 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, DataFrame, generic)
│       ├── layout/             # Layout managers (GridStack, Split)
│       ├── panel/              # Visualization panels (1D, 2D, 3D, DataFrame) and GUI
│       ├── plotter_1d/         # 1D plotting backends
│       ├── plotter_2d/         # 2D plotting backends (grid, polygon)
│       ├── plotter_3d/         # 3D plotting backends (VTK.js)
│       ├── plotter_dataframe/  # DataFrame display backend
│       └── 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 (1D, 2D, 3D, DataFrame)
layout/	Layout managers for arranging multiple panels (GridStack, Split)
interface/	Data interfaces for reading various file formats (MED, VTK, CSV, DataFrame, generic)
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/	1D plotting backends using Bokeh
plotter_2d/	2D plotting backends using Bokeh (polygon and grid modes)
plotter_3d/	3D plotting backends using VTK.js
plotter_dataframe/	DataFrame display backend for pandas DataFrames
component/	Custom Panel components including React Three Fiber integration

Metadata

Release files for scivianna 0.8.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scivianna 0.8.2
File	Size	Uploaded
scivianna-0.8.2.tar.gz	1.4 MB	Sep 30, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for scivianna 0.8.2
File	Interpreter	ABI	Platform	Reset
scivianna-0.8.2-py3-none-any.whl 1.4 MB Sep 30, 2026	Python 3	none	any	Details

Total release size: 2.8 MB

Release files / scivianna-0.8.2.tar.gz

Download URL	scivianna-0.8.2.tar.gz
Size	1.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`f27e63837011c1ffc5930b3e46de5e3d3d2c5a0c7ec1c5c373b4dbb6061ad463`
BLAKE2b-256 checksum How to use checksums	`b5af5c97ac52d46944ccc19bc2c79269a1514e24251dc55f0717837167ad110c`
Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.10.12`

Release files / scivianna-0.8.2-py3-none-any.whl

Download URL	scivianna-0.8.2-py3-none-any.whl
Size	1.4 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`ffeee8ae264bd431c48517536d860254dab21f50d415c482f826554dfe8cd0c6`
BLAKE2b-256 checksum How to use checksums	`ab5f98c93b4a65cb50b0df0050542bd6408c620166a14632d54feaa7b86f08d2`
Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.10.12`