TsLu1s/atlantic

Atlantic: Automated Data Preprocessing Framework for Machine Learning

59
/ 100
Established

This tool helps data scientists and machine learning engineers quickly prepare messy tabular datasets for predictive modeling. It takes raw data, automatically cleans it, selects important features, handles missing values, and transforms columns into a format ready for training machine learning models. The output is a clean, optimized dataset that improves the accuracy and reliability of your predictive analysis.

Used by 1 other package. Available on PyPI.

Use this if you need to automate and optimize the complex, time-consuming process of data preprocessing for supervised machine learning tasks, especially with tabular data.

Not ideal if your data is unstructured (like images, audio, or text), or if you require complete manual control over every single data transformation step.

predictive-modeling data-preparation machine-learning-engineering feature-engineering data-cleaning
Maintenance 10 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 16 / 25

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Stars

32

Forks

7

Language

Python

License

MIT

Last pushed

Feb 02, 2026

Commits (30d)

0

Dependencies

9

Reverse dependents

1

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