Hawkes Process Python Packages

morie

MORIE: multi-domain scientific computing toolkit (Python + R) for observational causal inference, survey methods, and criminal-justice analytics — home of the MRM (Multilevel Reconciliation Methodology) framework.

hawkespylib

Python Package for simulation and estimation of Hawkes processes

time-causal-vae

Time-causal financial generative models: refactored TC-VAE baselines with causal VQ/RVQ tokenizers, token priors, S&P500/VIX, Hawkes/SVMHJD, multi-dimensional benchmarks, and path-risk diagnostics.

pykelihood

package useful for likelihood-based inference

sparklen

A statistical learning toolkit for high-dimensional Hawkes processes in Python

moirais

Methods for Observational Inference and Robust Analysis of Interventions in Scientific Experimentation. Multi-domain scientific computing toolkit hosting the MRM framework for Canadian carceral, police, and oversight data, with general-purpose causal inference, signal processing, cryptography, spatial statistics, statistical physics, and psychometrics modules.