Project description

notebookJS: seamless JavaScript integration in Python Notebooks

notebookJS enables the execution of custom JavaScript code in Python Notebooks (Jupyter Notebook and Google Colab). This Python library can be useful for implementing and reusing interactive Data Visualizations in Notebook environments.

Figure 1: Radial Bar Chart of an energy consumption dataset. Adapted from this bl.ock. See Examples/3_RadialBarChart.

notebookJS supports bidirectional communication between Python and JavaScript. User interactions in HTML/JavaScript can trigger Python callbacks that process data on demand and send the results back to the front-end code.

If you use notebookJS, please reference the following work:

"Interactive Data Visualization in Jupyter Notebooks. JP Ono, J Freire, CT Silva - Computing in Science & Engineering, 2021"

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0.1.4

Apr 17, 2021

0.1.3

Apr 17, 2021

0.1.2

Apr 12, 2021

This version

0.1.1

Apr 12, 2021

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