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lifelib

Actuarial models in Python

  • 0.10.1
  • PyPI
  • Socket score

Maintainers
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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

.. _modelx: http://docs.modelx.io

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