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google-research/timesfm

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

About the project

TimesFM is a pretrained foundation model that forecasts future values in time-series data. Google Research develops it for forecasting applications, including use through Google products. The catalogue add-ons support working with the project.

This repository also configures its own agents. See what timesfm tells them →

Open on GitHub research.google
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timesfm-forecasting

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google-research/timesfm

Skill Claude CodeCodex

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced…

not rated 34k +323 16d ago A Snyk: passSkillSpector: pass 140 tokens original Apache-2.0