lifelib 0.9.5

Actuarial models in Python

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