Python Ipywidgets Resources

Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.

bqplot Gallery This is a gallery of bqplot examples. View the gallery at https://bqplot.github.io/bqplot-gallery. Contributing new examples Clone this

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

Based on the React library FlexLayout, ipyflex allows you to compose the sophisticated dashboard layouts from existing Jupyter widgets without coding. It supports multiple tabs, resizable cards, drag-and-drop layout, save dashboard template to disk, and many more.

🌐 Local Tile Server for Geospatial Rasters Need to visualize a rather large (gigabytes) raster you have locally? This is for you. A Flask application

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium