Show HN: Buckaroo – The data table UI for Notebooks

Summary

Buckaroo - The Data Table for Jupyter Buckaroo is a modern data table for Jupyter that expedites the most common exploratory data analysis tasks. The most basic data analysis task - looking at the raw data, is cumbersome with the existing pandas tooling. Buckaroo starts with a modern performant data table, is sortable, has value formatting, and scrolls infinitely. On top of the core table experience extra features like summary stats, histograms, smart sampling, auto-cleaning, and a low code UI are added. All of the functionality has sensible defaults that can be overridden to customize the experience for your workflow. Try it now with Marimo in your browser Play with Buckaroo without any installation. Full Tour Quick start run pip install buckaroo then restart your jupyter server The following code shows Buckaroo on a simple dataframe import pandas as pd import buckaroo pd.DataFrame({'a':[1, 2, 10, 30, 50, 60, 50], 'b': ['foo', 'foo', 'bar', pd.NA, pd.NA, pd.NA, pd. NA]}) When you run import buckaroo in a Jupyter notebook, Buckaroo becomes the default display method for Pandas and Polars DataFrames Compatibility Buckaroo works in the following notebook environments jupyter lab (version >=3.6.0) (version >=3.6.0) jupyter notebook (version >=7.0) (version >=7.0) Marimo VS Code notebooks (with extra install) (with extra install) Jupyter Lite Google colab Buckaroo works with the following DataFrame libraries pandas (version >=1.3.5) (version >=1.3.5) polars optional optional geopandas optional (deprecated, if you are interested in geopandas, please get in touch) Learn More Buckaroo has extensive docs and tests, the best way to learn about the system is from feature example videos on youtube Interactive Styling Gallery The interactive styling gallery lets you see different styling configurations. You can live edit code and play with different configs. Videos Example Notebooks The following examples are loaded into a jupyter lite environment with Buckaroo installed. Featu...