Creative connections (@creative-connections)

Top repositories

1

Bodylight.js-FMU-Compiler

Scripts and simple web service to compile FMU to Web Assembly embedded as Javascript object. It contains Docker container for sample instantiation.
C
18
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2

Bodylight.js-Composer

Bodylight.js Composer is a visual editor for creating in-browser dynamic simulators. Use this to build web simulators using bodylight components v1.0.
JavaScript
11
star
3

Bodylight.js-Components

Web components for Bodylight technology - to support in-browser simulators capable to execute models via standard FMI api, visualise using common chart libraries (chartjs, plotly, dygraph) and Adobe Animate components (exported as createjs components).
JavaScript
7
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4

Bodylight-VirtualMachine

Exemplar scripts and configuration files to build exemplar virtual machine from scratch containing last development version of all tolls in bodylight toolchain (Bodylight.js components and all dependencies).
JavaScript
6
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5

Bodylight-Scenarios

Live in-browser Modelica models executed as FMU in WebAssembly. Scenarios (hemodynamics, ironmetabolism, ...) of patophysiology using bodylight web components - allowing rich documents (HTML, markdown) with model simulation, visualisation (chartjs, plotly, dygraph) and animation (Adobe Animate components).
JavaScript
6
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6

bodylight.js

Toolkit for creating interactive web based simulators
5
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7

Bodylight.js-OM-Compiler

Docker container with OpenModelica compiler, which produces Bodylight.js compatible FMU files
Shell
3
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8

Bodylight-Editor

Optional interactive Markdown editor with enhanced support of Bodylight web components and live preview. Use this to build web simulators using bodylight components v2.0.
JavaScript
2
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9

minimal-open-modelica

Docker image with OpenModelica installed
Dockerfile
1
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10

TankPID

JavaScript
1
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11

Covid19Modeling

Modelica
1
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12

creative-connections.github.io

Website deploy repository: bodylight.physiome.cz
JavaScript
1
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13

Bodylight-notebooks

Jupyter interactive notebooks demonstrating Bodylight and related technologies in order to do data science with models of medical physiology.
Jupyter Notebook
1
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