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Stars gained: From May 13, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 12, 2026, each from zero050100May 13Nov 12, 2026KimMeen/Time-LLMskforecast/skforecast
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.5K2K2.5KApr 26Nov 12, 2026KimMeen/Time-LLMskforecast/skforecast

Facts

Fact KimMeen/Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Stars 2,7141,546
Net stars, last 30 days +12+9
Largest star day +4 on Aug 14, 2026+3 on May 13, 2026
Milestone reached in the record NoneNone
Forks 466207
Language PythonPython
License APACHE-2.0BSD-3-CLAUSE
Created Jan 20, 2024Feb 10, 2021
Last push Oct 15, 2025Nov 12, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 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 11, 2026Oct 22, 2026

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