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Stars gained: From May 13, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 11, 2026, each from zero0100200May 13Nov 11, 2026awslabs/gluontsunit8co/darts
Stars: The star count at the end of each dayStarsThe star count at the end of each day6K8KApr 25Nov 11, 2026awslabs/gluontsunit8co/darts

Facts

Fact awslabs/gluonts

Probabilistic time series modeling in Python

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

Stars 5,2619,583
Net stars, last 30 days +17+42
Largest star day +5 on Jun 29, 2026+7 on May 22, 2026
Milestone reached in the record NoneNone
Forks 8441,089
Language PythonPython
License APACHE-2.0APACHE-2.0
Created May 15, 2019Sep 13, 2018
Last push Oct 13, 2026Nov 6, 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 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: time-series, deep-learning, forecasting, machine-learning, data-science. 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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