Competing Risks Python Packages

crforest

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

comprisk

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

fife

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

hazardous

Competing Risks and Survival Analysis