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Each request is checked (exactly one public GitHub repo), deduplicated and ranked by how often it was asked for. Up to 3 deep-dives are run per day: a commit-pinned, static review of the code, tests, CI, license and activity, with a verdict, a Now / Next / Later roadmap and one bounded experiment. A request stores only the repo URL and the page you came from.
Repos mentioned in our explainers
GitHub repo
statsmodels/statsmodels
Python statistics library; includes Markov-switching regression and autoregression models for regime analysis.
No deep-dive yetGitHub repo
hmmlearn/hmmlearn
Unsupervised Hidden Markov Models in Python with a scikit-learn-style API (BSD-3-Clause, limited maintenance).
Deep-dive ready · Selective fit