lifelib: Actuarial models in Python

An open-source library of life actuarial models written in Python. You can run the models right out of the box, customize them in any way you like, or create your own models from scratch.

Last Updates

Note: Visit modelx blog for more updates.

• 14 Feb 2021: lifelib v0.0.16 is released. See Releases for details. New download available on Download page.

• 6 Dec 2020: lifelib v0.0.15 is released. See Releases for details. New download available on Download page.

• 24 May 2020: New download available on Download page.

• 10 May 2020: New download available on Download page.

• 29 April 2020: New download available on Download page.

• 22 April 2020: lifelib with WinPython is available on Download page.

• 18 April 2020: lifelib v0.0.14 is released. See Releases for details.

… See more updates

About

• What is lifelib?

• How lifelib works

• Module Index

• Index

• Search Page

• Past Documents

Download

Download lifelib with WinPython from here. No installation is required. Just unzip the file and it's all set.

Quick Start

• Getting lifelib

• Using lifelib on Spyder

• Running Notebooks

Projects

• Project fastlife

• Project simplelife

• Project nestedlife

• Project ifrs17sim

• Project solvency2

• Project smithwilson

• Development Guide

Gallery

• fastlife Examples

• simplelife Examples

• nestedlife Examples

• ifrs17sim Examples

• solvency2 Examples

• smithwilson Examples

Jupyter Notebooks

• fastlife Notebooks

• simplelife Notebooks

• ifrs17sim Notebooks

• smithwilson Notebooks

modelx sites

modelx is a Python package to use Python like a spreadsheet. modelx provides the foundation of lifelib. Find out more about modelx on the following sites.

Home page & Blog	https://modelx.io
Documentation site	https://docs.modelx.io
Development site	https://github.com/fumitoh/modelx
modelx on PyPI	https://pypi.org/project/modelx/

Contact & Links

If you have questions about lifelib, find bugs or want to request new features, submit issues on lifelib development site on github.

Connect with Fumito Hamamura or follow him on LinkedIn to subscribe to updates on lifelib and modelx. Let him know your use cases to make lifelib more practical.

Development site	https://github.com/fumitoh/lifelib
lifelib on PyPI	https://pypi.org/project/lifelib/
Author’s profile	https://www.linkedin.com/in/fumito-hamamura