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 Discussions and modelx blog for more updates.

• 9 Jul 2021: lifelib v0.0.19 is released. See Releases for details. New download available on Download page.

• 29 May 2021: This site is now based on the PyData Sphinx theme.

• 19 May 2021: modelx v0.15.0 and spyder-modelx v0.8.0 are released. New download available on Download page.

• 24 Apr 2021: spyder-modelx v0.7.0 is released. New download available on Download page.

• 29 Mar 2021: spyder-modelx v0.6.0 and modelx v0.13.1 are released. New download available on Download page.

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

… 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

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/

lifelib sites

If you find a bug, submit an issue on lifelib development site on GitHub. Start a discussion on the Discussions site to ask a question about lifelib, propose a new feature, or share your experience with lifelib.

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

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