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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 zero0100200May 18Nov 13, 2026alkaline-ml/pmdarimaNixtla/statsforecast
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4KApr 26Nov 13, 2026alkaline-ml/pmdarimaNixtla/statsforecast

Facts

Fact alkaline-ml/pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Stars 1,7424,978
Net stars, last 30 days +6+49
Largest star day +2 on Jul 17, 2026+6 on Aug 18, 2026
Milestone reached in the record NoneNone
Forks 258437
Language PythonPython
License MITAPACHE-2.0
Created Mar 30, 2017Nov 24, 2021
Last push Oct 19, 2026Nov 13, 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: arima, time-series, forecasting, python, econometrics, 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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