Package Exports
- @jupyterlab/vdom
- @jupyterlab/vdom/style/index
- @jupyterlab/vdom/style/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@jupyterlab/vdom) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
vdom-extension
A JupyterLab extension for rendering VirtualDOM using React

Prerequisites
- JupyterLab ^0.27.0
Usage
To render VDOM output in IPython:
from IPython.display import display
def VDOM(data={}):
bundle = {}
bundle['application/vdom.v1+json'] = data
display(bundle, raw=True)
VDOM({
'tagName': 'div',
'attributes': {},
'children': [{
'tagName': 'h1',
'attributes': {},
'children': 'Our Incredibly Declarative Example',
'key': 0
}, {
'tagName': 'p',
'attributes': {},
'children': ['Can you believe we wrote this ', {
'tagName': 'b',
'attributes': {},
'children': 'in Python',
'key': 1
}, '?'],
'key': 1
}, {
'tagName': 'img',
'attributes': {
'src': 'https://media.giphy.com/media/xUPGcguWZHRC2HyBRS/giphy.gif'
},
'key': 2
}, {
'tagName': 'p',
'attributes': {},
'children': ['What will ', {
'tagName': 'b',
'attributes': {},
'children': 'you',
'key': 1
}, ' create next?'],
'key': 3
}]
})Using the vdom Python library:
from vdom import h1, p, img, div, b
div(
h1('Our Incredibly Declarative Example'),
p('Can you believe we wrote this ', b('in Python'), '?'),
img(src="https://media.giphy.com/media/xUPGcguWZHRC2HyBRS/giphy.gif"),
p('What will ', b('you'), ' create next?'),
)To render a .vdom or .vdom.json file, simply open it:
Development
See the JupyterLab Contributor Documentation.