Compare Python Interactives

My goal here is create the same interactive plot using a variety of different plotting packages in Python in order to test and compare the various options that other people have developed. I'm looking for a plotting package that allows me to:

• create a plot of COVID-19 cases vs. time (while displaying the date correctly),
• zoom and pan on the plot,
• create customizable tooltips to show the data values when the mouse hovers over the plot,
• create a dropdown menu to choose the country,
• create a set of buttons to choose which columns I want to plot (for a given country), and
• export directly to a .html file for use on a personal website (without needing any other service).

After scouring the internet for the most popular plotting packages, I've decided to test this set of tools:

• Bokeh
• Plotly
• Altair
• mpld3
• matplotlib + ipywidgets
• pygal
• bqplot
• Streamlit

Please see compareInteractives.ipynb for the code.

Live examples of the Bokeh and Plotly versions (others are too large for GitHub = Altair & mpld3, or less interesting = pygal).