Insurance Python Packages

oasislmf

Loss modelling framework.

rustystats

Fast Generalized Linear Models with a Rust backend - statsmodels compatible

tweedie

Tweedie family density estimation in python

apra-mcp

Query the Australian Prudential Regulation Authority in plain English from Claude or any MCP client. Per-bank capital ratios, fund-level super, life + general insurance — post-AASB17.

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.

burncost

Burning cost analysis for P&C ratemaking: chain-ladder, Bornhuetter-Ferguson, trend estimation, premium on-leveling, Mack residuals. pip install burncost

ten99policy

Python library for the 1099policy API. https://1099policy.com

haute

Open-source pricing engine

ensuro

Ensuro Protocol - Blockchain-based, licensed, (re)insurer

ergodic-insurance

Financial modeling for widget manufacturers with ergodic insurance limits

actuarcredibility

Credibility models for actuarial pricing: Bühlmann, Bühlmann-Straub, Jewell hierarchical, Hachemeister regression, classical, and Bayesian (PyMC). pip install actuarcredibility

aws-insurancelake-etl

A CDK Python app for deploying ETL jobs that operate data pipelines for InsuranceLake in AWS

actuarydesk

Tools for actuary to model and analyze simple products or for actuarial students to practice.

oreum-core

Core tools for use on projects by Oreum Industries

insurance-monitoring

Model drift detection for insurance pricing — exposure-weighted PSI/CSI, A/E ratios, Gini drift z-test

insurance-fairness

Proxy discrimination auditing for insurance pricing — FCA EP25/2, Consumer Duty, bias metrics

insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

insurance-datasets

Synthetic UK motor insurance datasets with known DGP for model validation

insurance-causal

Causal inference for insurance pricing — DML, CatBoost nuisance models, confounding bias reports

aws-insurancelake-infrastructure

A CDK Python app for deploying foundational infrastructure for InsuranceLake in AWS

actudist

Python library for P&C loss distributions: severity and frequency families, MLE fitting, layer statistics, goodness-of-fit. pip install actudist

insurance-gam

Interpretable GAM models for insurance pricing — EBM tariffs, Actuarial NAM, Pairwise Interaction Networks (PIN), exact Shapley values

shap-relativities

SHAP-based rating relativities from GBM models for insurance pricing — extract GLM-style factors from CatBoost, Polars