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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. | EpistasisLab/tpot A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. |
|---|---|---|
| Stars | 4,418 | 10,060 |
| Net stars, last 30 days | +13 | +8 |
| Largest star day | +4 on May 21, 2026 | +3 on Nov 2, 2026 |
| Milestone reached in the record | None | 10,000 on May 2, 2026 |
| Forks | 585 | 1,558 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | LGPL-3.0 |
| Created | Aug 20, 2020 | Nov 3, 2015 |
| Last push | Nov 11, 2026 | Sep 11, 2025 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks (1 without data) | 1 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 data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: automl, automated-machine-learning, machine-learning, data-science, python, hyperparameter-optimization, random-forest, scikit-learn. 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