Repository profile
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Repository updates
Get generated azukds/tubular development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-07 03:14
6 captures since 2026-05-22
Stars from baseline +3
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-07 03:14
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
Feature engineering and selection open-source Python library compatible with sklearn.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Easy pipelines for pandas DataFrames.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
