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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) 2018-2026 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.

Metadata

Release files for lifelib 0.17.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lifelib 0.17.2
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Built distribution (wheel)

Table of built distributions (wheels) for lifelib 0.17.2
File Interpreter ABI Platform
lifelib-0.17.2-py3-none-any.whl Python 3 none any Details

Total release size: 60.3 MB

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