- Category
- AI Tools
- Pricing
- Open Source
- Type
- TOOL
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- google-research
- GitHub
- 27.1k stars
- Added
- Apr 14, 2026
About
A pretrained time-series foundation model developed by Google Research for forecasting time-series data. It's a decoder-only model that can handle various forecasting tasks with up to 16k context length and quantile forecasting capabilities.
Why it made the leaderboard
Google Research's pretrained time-series foundation model — a 200M-parameter decoder-only model with 16k context length and continuous quantile forecasting, so you get calibrated forecasts without training a model per series.
Tags
time-seriesforecastingmachine-learninggoogle-researchfoundation-modelpytorchquantile-forecastingopen-source
Tech Stack
Python
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