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time-series-forecasting GitHub repositories

Explore 9 tracked GitHub repositories tagged time-series-forecasting. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 7 stars since the previous daily snapshot.

Tracked repositories
9
Total stars
23,656
Stars gained · 7 days
+65
Stars gained · 30 days
+358

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Star activity for time-series-forecasting repositories on this page
RepositoryTotal starsToday7 days30 days
amazon-science/chronos-forecasting6.2K+4+42+278
skforecast/skforecast1.5K+1+4+5
awslabs/gluonts5.3K+1+3+21
DaoSword/Time-Series-Forecasting-and-Deep-Learning808+1+0+4
Nixtla/nixtla4.0K+0+5+22

Explore repositories

Showing 1–9 of 9 tracked repositories.

Nixtla/nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

TimeCopilot/timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

fraunhoferportugal/tsfel

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python