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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 | ikatsov/tensor-house A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more. | stefan-jansen/machine-learning-for-trading Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution. |
|---|---|---|
| Stars | 1,464 | 21,817 |
| Net stars, last 30 days | +5 | +467 |
| Largest star day | +4 on Jun 11, 2026 | +640 on Jun 2, 2026 |
| Milestone reached in the record | None | None |
| Forks | 509 | 5,785 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | APACHE-2.0 | MIT |
| Created | Nov 24, 2017 | May 9, 2018 |
| Last push | Jan 24, 2024 | Nov 13, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 3 of 4 checks |
| Health facts: Releases | 1 of 3 checks (1 without data) | 2 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 623 |
| Weeks with commits, last 52 | No data | 21 of 52 |
| In the Repository Index since | Nov 13, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: data-science, machine-learning, reinforcement-learning, deep-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