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

active 2023-08-152026-06-11 (UTC)

Complete coverage26,537 / 26,537 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
1.3K
Pushes
103
Pull requests
66
Issues
196
Stars
512
Forks
77

Activity over time

Daily event counts in the loaded window

Line chart, 1032 days from 2023-08-15 to 2026-06-11. Pushes: 103 total, peak 9 in a day. Pull requests: 66 total, peak 8 in a day. Issues: 196 total, peak 17 in a day. Comments: 343 total, peak 13 in a day. Stars: 512 total, peak 6 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue comment#713pplonski2026-05-25 10:17
    Please document all preprocessing methods
  • Issue comment#811vivek41-glitch2026-05-09 20:09
    fix: handle empty value_counts in get_most_frequent to prevent IndexError
  • Issue#808pplonski2026-03-26 10:18
    Simplify `report_structured()` output and add `model_name` filter
  • Issue#807pplonski2026-03-24 08:49
    Add structured AutoML report for programmatic and LLM-friendly usage
  • Pull request#805giovannimicaroni2025-12-04 00:25
  • Issue comment#798giovannimicaroni2025-11-05 11:43
    Precidition for all models produced during traing
  • Issue comment#798pplonski2025-10-06 08:00
    Precidition for all models produced during traing
  • Issue comment#396Hassan92552025-07-19 16:39
    Compute predictions on single sample
  • Releasepplonski2025-07-07 17:06
    v1.1.18
  • Issue comment#800pplonski2025-07-07 17:05
    remove unused dependencies
  • Issue comment#799pplonski2025-06-06 07:03
    Can not call need_retrain when best model is Ensemble
  • Issue comment#798pplonski2025-05-20 08:47
    Precidition for all models produced during traing
  • Issue#798kozaka932025-05-11 12:33
    Precidition for all models produced during traing
  • Issue comment#797FHellmann2025-05-08 10:52
    Preprocessing Feature Improvements
  • Issue comment#797pplonski2025-05-08 07:38
    Preprocessing Feature Improvements
  • Issue#797FHellmann2025-05-07 20:45
    Preprocessing Feature Improvements
  • Issue comment#573Djoels2025-04-29 15:10
    Confusion between : train, val, test.
  • Issue comment#476YuanfengZhang2025-04-18 10:54
    Cannot import supervised.automl
  • Issue comment#796pplonski2025-04-14 09:04
    Update automl_plots.py
  • Pull request#796ajaymur912025-04-14 02:01
  • Releasepplonski2025-04-01 10:24
    v1.1.17
  • Issue comment#726pplonski2025-04-01 09:54
    cant do plots when supervised imported
  • Issue#726pplonski2025-04-01 09:54
    cant do plots when supervised imported
  • Issue#795pplonski2025-04-01 09:53
    FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`
  • Issue#785pplonski2025-04-01 09:53
    Setup plot backend - plots not showing in Jupyter/.ipynb

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 512 stars here means stars gained during the window, not the repo's star count.