TimesFM
Google Research pretrained time-series foundation model for forecasting with open Apache-2.0 code and checkpoints.
Why it is included
Listed on TAAFT (Google Research repositories) as a widely starred time-series FM project.
Best for
Analysts and ML engineers needing strong zero-shot or fine-tuned forecasting baselines.
Strengths
- Purpose-built for series
- Research-grade release
- Apache-2.0
Limitations
- Domain shift and seasonality still need validation
Good alternatives
Prophet · ARIMA stacks · Temporal Fusion Transformers
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