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Stars gained: From May 8, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 12, 2026, each from zero02550May 8Nov 12, 2026mljar/mljar-supervisedAutoViML/AutoViz
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3KApr 26Nov 12, 2026mljar/mljar-supervisedAutoViML/AutoViz

Facts

Fact mljar/mljar-supervised

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

AutoViML/AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Stars 3,3061,906
Net stars, last 30 days +7+3
Largest star day +2 on May 14, 2026+2 on May 10, 2026
Milestone reached in the record NoneNone
Forks 449214
Language PythonPython
License MITAPACHE-2.0
Created Nov 5, 2018Jul 17, 2019
Last push Nov 5, 2026Jun 10, 2024
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: automl, machine-learning, scikit-learn, xgboost, automated-machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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