lifelib 0.4.1

Actuarial models in Python

lifelib is a collection of actuarial projection models. lifelib models are built as modelx models, ready to be used out of the box with sample formulas and input files, and they are fully customizable by users.

Feature highlights

• Formulas and their calculated values paired as Cells, just like spreadsheet cells
• Relevant cells grouped together as a Space, just like a spreadsheet
• Spaces in other spaces (subspaces), forming trees of spaces
• Models composed of spaces
• Space inheritance
• Parametrized dynamic subspaces created automatically
• Saving to / loading from files
• Conversion to Pandas objects
• Reading data from Excel files
• Cells graph to track cells interdependency

Why lifelib?

• Better model integrity and extensibility
• For readable formula expressions
• For eliminating spreadsheet errors
• For better version control/model governance

What for?

• Pricing / Profit testing
• Model validation / testing
• Prototyping for production models
• As corporate models
• For simulations
• As replacement for any spreadsheet models

Related sites

• lifelib development site: https://github.com/fumitoh/lifelib
• modelx documentation: http://docs.modelx.io