I am building Buckaroo [1], the data table UI in Jupyter that I have always wanted. I know how to use df.head(), df.describe(), sort, and run histograms on columns. I just got tired of typing 5 bits of code to minimally inspect each dataframe every time I looked at it.
So I built buckaroo, it combines a high performance scrollable table (built on top of ag-grid), with summary stats, and histograms. All of this is customizable and extensible. I recently built a dataframe compare tool [2] on top of buckaroo that uses coloring to show differences between dataframes intuitively.
Get in touch if you want to talk tables, data science tooling, or exploratory data analysis.
So I built buckaroo, it combines a high performance scrollable table (built on top of ag-grid), with summary stats, and histograms. All of this is customizable and extensible. I recently built a dataframe compare tool [2] on top of buckaroo that uses coloring to show differences between dataframes intuitively.
Get in touch if you want to talk tables, data science tooling, or exploratory data analysis.
[1] https://github.com/paddymul/buckaroo
[2] https://www.youtube.com/shorts/u3PW6q36ufo