Self-hosted forecasting + prediction service. Five zero-shot time-series foundation models (Chronos-2, TimesFM 2.5, Moirai-2, Toto-1, Sundial) across six forecast types, plus nine supervised tabular ML backends (LightGBM, XGBoost, sklearn family) with calibrated / stacking / diversified meta-learners. Unified REST API + MCP server.
python docker machine-learning mcp scikit-learn cuda pytorch xgboost forecasting lightgbm chronos sundial toto moirai time-series-forecasting fastapi foundation-models tabular-ml timesfm zero-shot-forecasting
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Updated
Oct 19, 2026 - Python