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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 | nils-werner/mdct A fast MDCT implementation using SciPy and FFTs | donnemartin/data-science-ipython-notebooks Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
|---|---|---|
| Stars | 55 | 29,383 |
| Net stars, last 30 days | 0 | +39 |
| Largest star day | +1 on May 18, 2026 | +16 on May 20, 2026 |
| Milestone reached in the record | None | None |
| Forks | 13 | 7,999 |
| Language | Python | Python |
| License | MIT | Other license |
| Created | May 23, 2016 | Jan 23, 2015 |
| Last push | Jun 18, 2022 | Mar 20, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 of 3 checks (1 without data) |
| 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) | 1 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: scipy. 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