Actuarial Science Python Packages

surpyval

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

cashflower

An open-source Python framework for actuarial cash flow models

aggregate

Tools for creating and working with aggregate probability distributions.

lossratio

Python sibling of the R lossratio package: loss-ratio analysis and projection for long-term health insurance. Stage-adaptive projection (exposure-driven before maturity, chain ladder after), with maturity point and cohort regime detection. In development.

actuarialmath

Python package to solve actuarial life-contingent risks

lossmodels

lossmodels: actuarial loss models in Python

gemact

A comprehensive actuarial package for non-life (re)insurance.

risksim

Portfolio-level loss simulation and aggregate treaty modeling in Python

insurance-scmoe

Spatially Clustered Mixture of Experts for joint frequency-severity insurance pricing (NAAJ 2025)