mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Recent spike, 1.5× faster than AutoML this week

7d +0.09% +3 stars in 7d
30d Not tracked yet — first tracked 2026-09-08
90d Not tracked yet — first tracked 2026-09-08
Sep 8, 2026: 3,290 starsSep 9, 2026: 3,291 starsSep 10, 2026: 3,292 starsSep 11, 2026: 3,291 starsSep 12, 2026: 3,292 starsSep 13, 2026: 3,292 starsSep 14, 2026: 3,292 starsSep 15, 2026: 3,293 starsSep 16, 2026: 3,292 starsSep 17, 2026: 3,292 starsSep 18, 2026: 3,292 starsSep 19, 2026: 3,292 starsSep 20, 2026: 3,293 starsSep 21, 2026: 3,294 starsSep 22, 2026: 3,294 starsSep 23, 2026: 3,294 starsSep 24, 2026: 3,294 starsSep 25, 2026: 3,296 starsSep 26, 2026: 3,295 starsSep 27, 2026: 3,295 starsSep 28, 2026: 3,295 starsSep 29, 2026: 3,296 starsSep 30, 2026: 3,297 starsOct 1, 2026: 3,297 stars 3,2903,2943,297 Sep 8Oct 1

3,290 → 3,297 stars since Sep 8

3,290 Stars 447 Forks 130 Open issues

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automated-machine-learningautomlautoml-apiautoml-pythoncatboostdata-sciencedecision-treeensemblefeature-engineeringhyper-parametershyperparameter-optimizationlightgbmmachine-learningmljarneural-networkrandom-forestscikit-learnxgboost