lifelib 0.13.0

Actuarial models in Python

Life actuarial models in Python

What is lifelib?

lifelib is a collection of open-source life actuarial models written in Python. lifelib includes a variety of models, with sample scripts and Jupyter notebooks that demonstrate how to use the models.

Visit https://lifelib.io for more information!

What for?

lifelib models are highly versatile and transparent. You can customize lifelib models and utilize them in various practical areas, such as:

• Model validation / testing

• Pricing / profit testing

• Research / educational projects

• Valuation / cashflow projections

• Asset-liability modeling

• Risk and capital modeling

• Actuarial modernization to replace spreadsheet models

Why lifelib?

By effectively utilizing the models in lifelib, you can expect the following benefits from both model development and governance perspectives:

• A more efficient, transparent, and faster model development experience

• Model integration with the Python ecosystem (Pandas, Numpy, SciPy, etc.)

• Elimination of spreadsheet errors

• Improved version control and model governance

• Automated model testing

Some of the models in lifelib are built using modelx, an open-source Python package for building object-oriented models in Python. By using lifelib, you can enjoy the following advantages:

• Models run fast!

• Formulas are easy to read

• Easy to trace formula dependency and errors

• Formulas are instantly evaluated

• Pandas and Numpy can be utilized

• Object-oriented

• Input from Excel and CSV files

• Documents can be integrated

• Formulas are saved in text files

License

Copyright (c) 2018-2026 lifelib Developers

lifelib is free software; you can redistribute it and/or modify it under the terms of MIT License.

Contributions, productive comments, requests and feedback from the community are always welcome. Information on lifelib development is found at Github https://github.com/lifelib-dev/lifelib

Requirements

The lifelib package requires Python 3.6 or newer, and the following third-party packages.

• modelx

• networkx 2.0+

• Numpy

• Pandas

• OpenPyXL

lifelib consists of multiple libraries. Each library may have additional requirements in addition to the above.

Development

For developers contributing to lifelib, a Makefile is provided to simplify environment setup and common development tasks.

Quick start:

make init                      # Set up development environment (use Git Bash or WSL if you use a Windows machine)
source venv_lifelib/bin/activate  # Activate virtual environment
make test                      # Run tests

Common commands:

make help              # Show all available commands
make install-dev       # Install with dev dependencies
make test              # Run tests
make test-cov          # Run tests with coverage report
make format            # Auto-format code (black, isort)
make lint              # Check code quality (flake8)
make clean             # Clean generated files

For detailed information, see devnotes/MAKEFILE.md and devnotes/TESTING.md.

Contributors

• 2023

  • @alexeybaran

  • @fumitoh

  • @MatthewCaseres

• 2018-2022

  • @alexeybaran

  • @fumitoh

  • @GregorFabjan

  • @lewisfogden

  • @qnity

History

lifelib was first released on January 2nd, 2018.