I strongly suggested using plotly instead (either this Python API or the R/ggplot2 API) as it saved a lot of headaches. The native Notebook capabilities are very nice too. (the hard part is extracting the interactive visualization to use elsewhere)
1) You can save them to a standalone, self-contained, html file: See https://community.plot.ly/t/proper-way-to-save-a-plot-to-htm...
2) You can save them to an html <div> element and embed them in another web page: See https://stackoverflow.com/a/38032952/4551895
3) You can upload them to plot.ly and share the link
Obviously python itself is open, I mean the API :-)
plotly.py and the plotly.js rendering library are both MIT licensed, developed in the open on GitHub, and totally self-contained.
Everything in the technology stack used in the announcement post is free, open source, self-contained, usable offline, and doesn't require an account. The plot.ly cloud integration is totally optional.