Jupyter widgets enable interactive data visualization in the Jupyter notebooks.
Notebooks come alive when interactive widgets are used. Users can visualize and control changes in the data. Learning becomes an immersive, plus fun, experience. Researchers can easily see how changing inputs to a model impacts the results.
A library for creating simple interactive maps with panning and zooming, ipyleaflet supports annotations such as polygons, markers, and more generally any geojson-encoded geographical data structure.
A Jupyter widget to interactively view molecular structures and trajectories.