Browser-runnable empirical macroeconomics in pure Python: VAR/SVAR/LP/GARCH/inference/VFI/DSGE/narrative, with built-in validation & replication galleries (Pyodide-compatible).
A first and second-order DSGE engine with a fully symbolic and modifiable model backend. Includes estimation, monte carlo pipeline costruction, and regression-based equation augmentation capabilities
A Python toolkit for DSGE modeling: parse model files, solve linear and nonlinear systems, run simulation and estimation workflows, and perform policy/welfare analysis.