Turns out I don’t need to worry about hosting plotly iteractive charts elsewhere. Plotly has apparently released many cool things into the open source side since the last time I used it. Basically, by only using plotly.express and plotly.io, following can meet the need:

First export plotly-express charts to some html file (eg. test_plot.html using the snippet I picked from Plotly Express Walkthrough ). This file holds the data loaded javascript (that operates the interactive chart at the client side) as well.

import plotly.express as px
import plotly.io as pio

gapminder = px.data.gapminder()
gapminder2007 = gapminder.query("year == 2007")

fig = px.scatter(gapminder, 
                x="gdpPercap", 
                y="lifeExp",
                size="pop", 
                size_max=60, 
                color="continent", 
                hover_name="country",
                animation_frame="year", 
                animation_group="country", 
                log_x=True, 
                range_x=[100,100000], 
                range_y=[25,90],
                labels=dict(pop="Population", 
                            gdpPercap="GDP per Capita", 
                            lifeExp="Life Expectancy")
                )
pio.write_html(fig, file='test_plot.html', auto_open=True)

Then you can either:

  • Grab everything between <body></body> tags and put it in your static html.
  • OR create a template html file with it and include it in a div where it needs to be shown.

You will see something like: