Surprised I hadn't heard of mplfinance. Similar code for econometric charts with bands and an annotation table with dated events would be useful and probably already exists somewhere. Maybe Predictive Forecasting libraries for time series already have something that could be factored out into a maintained package for such common charts? E.g. seaborn has real nice confidence intervals with matplotlib, too; though the matplotlib native color schemes are colorblind-friendly: "Perceptually Uniform Sequential colormaps" https://matplotlib.org/3.5.0/tutorials/colors/colormaps.html

awesome-jupyter > Rendering/Publishing/Conversion https://github.com/markusschanta/awesome-jupyter#renderingpu... :

> ContainDS Dashboards - JupyterHub extension to host authenticated scripts or notebooks in any framework (Voilà, Streamlit, Plotly Dash etc)

IIRC, ContainDS and Voila spawn per-dashboard and/or per-user Jupyter kernels with JupyterHub Spawners and Authenticators; like Binderhub ( https://mybinder.org/ ) but with required login and without repo2docker?

Streamlit lists Bokeh, Jupyter Voila, Panel, and Plotly Dash as Alternative dashboard approaches: https://github.com/MarcSkovMadsen/awesome-streamlit#alternat...

Says here that mljar/mercury is dual-licensed AGPL: https://github.com/mljar/mercury