skforecast

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

Recent spike this week

7d +0.07% +1 stars in 7d
30d Not tracked yet — first tracked 2026-09-08
90d Not tracked yet — first tracked 2026-09-08
Sep 8, 2026: 1,531 starsSep 9, 2026: 1,532 starsSep 10, 2026: 1,532 starsSep 11, 2026: 1,533 starsSep 12, 2026: 1,533 starsSep 13, 2026: 1,533 starsSep 14, 2026: 1,533 starsSep 15, 2026: 1,534 starsSep 16, 2026: 1,535 starsSep 17, 2026: 1,535 starsSep 18, 2026: 1,535 starsSep 19, 2026: 1,535 starsSep 20, 2026: 1,535 starsSep 21, 2026: 1,535 starsSep 22, 2026: 1,536 starsSep 23, 2026: 1,536 starsSep 24, 2026: 1,536 starsSep 25, 2026: 1,536 starsSep 26, 2026: 1,537 starsSep 27, 2026: 1,537 starsSep 28, 2026: 1,536 starsSep 29, 2026: 1,536 starsSep 30, 2026: 1,536 starsOct 1, 2026: 1,537 stars 1,5311,5341,537 Sep 8Oct 1

1,531 → 1,537 stars since Sep 8

1,530 Stars 202 Forks 15 Open issues
arimabacktesting-forecasterscatboostdata-sciencedeep-learningexogenous-predictorsforecastingfoundation-modelslightgbmmachine-learningmulti-series-forecastingmulti-step-forecastingprediction-intervalsprobabilistic-forecastingpythonsarimaxscikit-learntime-seriestime-series-forecastingxgboost