Insurance Python Packages

rustystats

Fast Generalized Linear Models with a Rust backend

oasislmf

Loss modelling framework.

tweedie

Tweedie family density estimation in python

haute

Open-source pricing engine

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.

britecore-sdk

Community-maintained Python SDK for the BriteCore Insurance API with spec-aligned v2 wrappers, OAuth2/API key auth, and PEP 561 type hints.

allyanonimiser

Australian-focused PII detection and anonymization for the insurance industry — fast, regex+spaCy, no GPU

bima-mcp

MCP server for Kenya insurance — NHIF coverage, parametric crop risk, microinsurance comparison. 6 tools.

oreum-core

Core tools for use on client projects

extremeloss

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

aws-insurancelake-etl

This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, AWS Glue for data transformation, and AWS CDK Pipelines. It is originally based on the AWS blog Deploy data lake ETL jobs using CDK Pipelines, and complements the InsuranceLake Infrastructure project

freeboard

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

ten99policy

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

insolver

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

actuarydesk

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

ensuro

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

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.

insurance-monitoring

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

risksim

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

insurance-causal

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

clef-finetune

Fine-tune Cloudflare's open-source Clef / Clef-flash decision models (LoRA + joint schema head) for vertical decisions like insurance claims and compliance

insurance-fairness

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