I am working on Buckaroo[1] - the data table for jupyter/dataframes that I have always wanted. Buckaroo combines a performant table capable of scrolling throug

I am working on Buckaroo[1] - the data table for jupyter/dataframes that I have always wanted. Buckaroo combines a performant table capable of scrolling through 1000s of rows, with summary stats and histograms. All configurable and extensible by users. never type df.head() again. give it a try, I'm eager to hear feedback. Recently I have been working on the low-code UI. I find myself looking up and typing the same pandas (and polars) incantations over and over again to explore and modify data. The low-code UI allows simple transforms of data (search, remove column outliers, show only outliers of a column, group by) to be perfromed with just clicks. You can also view the generated python code. This is powered by a json-flavored lisp interpreter, but users never have to type lisp code. [1] https://github.com/paddymul/buckaroo https://github.com/paddymul/buckaroo