tvb-widgets


Nametvb-widgets JSON
Version 1.1.0 PyPI version JSON
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home_pagehttps://github.com/the-virtual-brain/tvb-widgets
SummaryGUI widgets for EBRAINS showcases
upload_time2023-02-03 13:23:47
maintainer
docs_urlNone
authorTVB Widgets Team (Juelich SDL Neuroscience, INS - Marseille, Codemart)
requires_python
licenseGPL-3.0-or-later
keywords tvb widgets jupyterlab ebrains showcases
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # tvb-widgets
![Github Actions Status](https://sonarcloud.io/api/project_badges/measure?project=the-virtual-brain_tvb-widgets&metric=alert_status) 
[![Maintainability Rating](https://sonarcloud.io/api/project_badges/measure?project=the-virtual-brain_tvb-widgets&metric=sqale_rating)](https://sonarcloud.io/summary/new_code?id=the-virtual-brain_tvb-widgets)
[![Reliability Rating](https://sonarcloud.io/api/project_badges/measure?project=the-virtual-brain_tvb-widgets&metric=reliability_rating)](https://sonarcloud.io/summary/new_code?id=the-virtual-brain_tvb-widgets) 
[![Lines of Code](https://sonarcloud.io/api/project_badges/measure?project=the-virtual-brain_tvb-widgets&metric=ncloc)](https://sonarcloud.io/summary/new_code?id=the-virtual-brain_tvb-widgets)


**TheVirtualBrain - Widgets** is a package with somehow generic GUI components, 
but developed for **EBRAINS Showcases** in particular.

The showcases developed in the last phase of the HBP are meant to illustrate 
the full potential of technical and scientific features offered by EBRAINS. 
Access by the end users to this showcased functionality should be as easy as 
possible. In order to support the usability of the showcases, as well as future 
EBRAINS workflows, we develop here a set of modular graphic solutions which 
can be easily deployed in the EBRAINS Collaboratory within the JupyterLab. 

This module is also documented in EBRAINS here: https://wiki.ebrains.eu/bin/view/Collabs/tvb-widgets

These graphic user interface components enable:
 1. Easy setup of models and region specific or cohort simulations. This includes single simulations as well as parameter explorations.
 2. Selection of Data sources and their links to models. This will exploit the backend data access functionality to be developed new in TVB.
 3. Previews of queried data from Siibra and the KG.
 4. Deployment of jobs to HPC resources.
 5. Integration of a subset of TVB analysis and visualisation tools.
 6. The GUIs must be designed to be integrated into cells in the notebooks and Jupyter notebook extension for HPC resource usage and job tracking will be also developed as independent panels.

Installation:

    jupyter labextension install @jupyter-widgets/jupyterlab-manager
    jupyter labextension install jupyter-matplotlib
    pip install tvb-widgets

#  Acknowledgments
This project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3).



            

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