dholzmueller/pytabkit
ML models + benchmark for tabular data classification and regression
This tool helps data scientists and machine learning practitioners quickly experiment with and benchmark advanced machine learning models for tabular data. You provide your structured datasets, and it outputs trained classification or regression models ready for predictions, along with performance benchmarks. It's designed for those who work with structured data like spreadsheets or database tables.
351 stars. Available on PyPI.
Use this if you need to build a predictive model from structured, tabular data and want to easily compare the performance of various modern deep learning and tree-based methods.
Not ideal if your dataset contains missing numerical values, as they need to be pre-processed before use, or if you require the absolute best possible performance without concern for speed or ease of use, in which case AutoGluon might be better.
Stars
351
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 06, 2026
Commits (30d)
0
Dependencies
7
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