[octopoc]

> There is now a DataFrame.Typed API that tracks the entire schema of the dataframe - column names, misapplied operations etc are now compile time failures and you can easily move between exploratory and pipeline work.

This makes complex dashboards so much easier to build, because in Python you have to test everything in the dashboard to make sure a change to a common dataset didn’t break anything.

Is there a good web dashboard library like streamlit for Haskell I wonder?

[mchav]

No but something is in the works! We are building reactive notebooks that we will eventually give export capabilties.

You can try it from https://www.datahaskell.org/ under "try out our current stack"