Actuarial Science Python Packages

cashflower

An open-source Python framework for actuarial cash flow models

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.

actuarialmath

Python package to solve actuarial life-contingent risks

gemact

Repository of GEMAct source code. Enjoy!

aggregate

Tools for creating and working with aggregate probability distributions.

actuarialpy

Purpose-neutral actuarial calculation primitives: metrics, reserving, trend, credibility, pooling, financial math. Foundation of the OpenActuarial ecosystem.

extremeloss

Extreme value analysis for insurance losses: POT/GPD, GEV with uncertainty, threshold diagnostics, return levels, body-tail splicing.

freeboard

Bühlmann credibility for AI agent deployments: does a pooled prior earn its keep? Three corpora, ~40k episodes, negative controls included.

ratingmodels

Manual and experience rating, credibility blending, and rate indication with an audit trail; GLM relativities and frequency-severity modeling.

lossmodels

Severity and frequency fitting and aggregate loss distributions: transformed beta and gamma catalogs, truncation- and censoring-aware MLE, FFT and Panjer.

risksim

Portfolio Monte Carlo: aggregate simulation, Iman-Conover dependence, reinsurance layers, VaR/TVaR with bootstrap error.

heavytails

heavytails is a Python library implementing heavy-tailed probability distributions, built from first principles with NumPy-backed vectorized evaluation. The library provides comprehensive support for continuous and discrete heavy-tailed distributions, tail index estimation methods, and diagnostic utilities

acteval-insurance

Model-agnostic evaluation, uncertainty and reporting for actuarial predictive models.

lost-years

Join to Human Life Table Data

lossratio

Loss ratio analysis and projection for long-term health insurance. In development.

insurance-scmoe

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