F

forecasting

Source code for shyft.

Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services

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.

Test build and runtime environments using docker for XyGrib on different Linux distributions.

This is a software for Solar and Wind Energy Estimation and Forcasting Application It is completely developed in MATLAB It also has automated components for running the WRF software package written in Shell Script