You might find the Python framework we've been working on helpful for that use-case: https://github.com/datapane/datapane https://github.com/datapane/datapane.

You might find the Python framework we've been working on helpful for that use-case: https://github.com/datapane/datapane https://github.com/datapane/datapane. It allows you to create interactive HTML reports comprised of pandas DataFrames, plots, and UI elements (e.g. dropdowns, selects, pages). Standalone HTML files provide a really nice alternative to PDF as they maintain interactively: you can host them static sites, allow people to download data, use plots interactively, click through pages, similar to a statically generated website. That said, there is still a definite blocker in non-technical people receiving a .HTML file over email and immediately thinking it's suspicious or a virus (doesn't help that gmail has such poor support for them.) It's a shame, because PDFs have so many warts and HTML can be used as a really nice distributable file format, especially as you can make them fully standalone by baking in datasets, plots, libraries, etc. so they can be used without network. IMO Jupyter is great at what it is - a REPL - but, outside of sharing a step-by-step "here are the steps I took to come to this answer", isn't the ideal format for sharing insights, as there is no reason a report would follow the same narrative as the analysis itself.