ipyniivue_experimental

A Jupyter Widget for Niivue based on anywidget.

Installation

pip install ipyniivue_experimental

In a Jupyter environment:

from ipyniivue_experimental import AnyNiivue

nv = AnyNiivue()
nv.load_volumes([{"path": "images/mni152.nii.gz"}])
nv

See the basic demo to learn more.

This is an anywidget project. To get started create a virtual Python environment and install the necessary development dependencies.

python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

Then, install JS dependencies with npm and run the dev server.

npm install
npm run dev

You can now start VS Code or JupyterLab to develop the widget. When finished, stop the JS development server.

NOTE: In order to have anywidget automatically apply changes as you work, make sure to export ANYWIDGET_HMR=1 environment variable.

Change to traitlet approach

Adding functions load_volumes, load_meshes, set_opacity, set_crosshair_width and set_crosshair_color.

Setting up the project