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c/timesfm

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Project infogoogle-research/timesfm

About

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Open sourceCreated November 7, 2026

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Open-source project

Avatar from GitHubgoogle-research/timesfmView on GitHub
Community-run · not official
Stars
35.2K
Forks
3.4K
Language
Python
License
Apache-2.0

Last commit Sep 30, 2026

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timesfm: A pretrained time-series foundation model for time-series forecasting.

What problem it solves Time-series forecasting requires models that can forecast univariate and multivariate series across different context lengths. Forecasters also need to incorporate optional covariates and produce quantile forecasts without requiring per-task tuning. Key features Univariate and multivariate forecasting — Forecast individual time series or multiple target variates from NumPy a…

github.comhttps://github.com/google-research/timesfm