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Stars gained: From May 18, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 13, 2026, each from zero02550May 18Nov 13, 2026pytorch-tabular/pytorch_tabularpytorch/ignite
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4KApr 25Nov 13, 2026pytorch-tabular/pytorch_tabularpytorch/ignite

Facts

Fact pytorch-tabular/pytorch_tabular

A unified framework for Deep Learning Models on tabular data

pytorch/ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Stars 1,6984,804
Net stars, last 30 days +6+13
Largest star day +2 on Jun 16, 2026+3 on May 26, 2026
Milestone reached in the record NoneNone
Forks 182769
Language PythonPython
License MITBSD-3-CLAUSE
Created Dec 15, 2020Nov 23, 2017
Last push Oct 20, 2026Nov 3, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 2 of 3 checks (1 without data)2 of 3 checks (1 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 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, pytorch, hacktoberfest, 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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