/lifelib

Python package of actuarial models, tools, examples and learning materials.

Primary LanguageJupyter NotebookMIT LicenseMIT

lifelib

Life actuarial models in Python

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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) 2018-2023 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.

Contributors

  • 2023
    • @alexeybaran
    • @fumitoh
    • @MatthewCaseres
  • 2018-2022
    • @alexeybaran
    • @fumitoh
    • @GregorFabjan
    • @lewisfogden
    • @qnity

History

lifelib was first released on January 2nd, 2018.