actuarial-science

R package for insurance pricing and tariff modeling

Tools for creating and working with aggregate probability distributions.

An open-source Python framework for actuarial cash flow models

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.

A curated collection of actuarial AI case studies covering machine learning, generative AI, agentic AI, and more, designed to support actuaries in applying AI to real-world problems.

DeepTriangle: A Deep Learning Approach to Loss Reserving

Life Actuarial Maths

Common functions in actuarial and financial routines

Fit and compare the most popular human mortality laws - R package

Practical Ratemaking

Easily Reference and use Actuarial Mortality Tables

Systemorph IFRS 17 Calculation Engine

Repository of GEMAct source code. Enjoy!

Python package to solve actuarial life-contingent risks

R package for spatial risk analytics

Examples and Tutorials using JuliaActuary packages.

Individual claims history simulation machine

A resource hub with tutorials and guides helping actuaries use AI tools—including chatbots, coding assistants, data analysis tools, and automation frameworks—effectively in their work.

An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.

Pure Functional Actuarial Language