lifelib: Actuarial models in Python#

lifelib is an open-source Python package featuring practical actuarial models, tools, and examples. Contribute your excellent work to lifelib and share it with actuaries from all around the world!

Last Updates

Note: Follow lifelib on LinkedIn for more frequent updates.

  • 13 September 2026: lifelib v0.17.0 is released. frlib, a new library of nine reference liability cash flow projection models for French individual life, savings and retirement products, including assurance vie on both of its supports and the creditor insurance sold with a mortgage, is added. The library is in its draft stage. The uslib, uklib and jplib models move onto the same 0-based monthly grid, and the eight models that stepped annually are renamed from _A to _S.

  • 29 August 2026: lifelib v0.16.0 is released. jplib, a new library of nine reference liability cash flow projection models for Japanese individual life products, including the three third-sector products of medical, cancer and nursing care, is added. The library is in its draft stage.

  • 22 August 2026: lifelib v0.15.0 is released. uklib, a new library of seven reference liability cash flow projection models for UK individual life products and the pension annuity, is added. The library is in its draft stage.

  • 17 August 2026: lifelib v0.14.0 is released. uslib, a new library of twelve reference liability cash flow projection models for U.S. individual life and annuity products, is added. The library is in its draft stage.

  • 9 Aug 2026: New download available on the Download page.

… See more updates

lifelib sites#

Submit an issue on lifelib development site on GitHub to report a bug. Start a discussion on the Discussions site to ask a question about lifelib, propose a new feature, or share your experience with lifelib. Follow lifelib’s LinkedIn page to receive updates.

modelx sites#

modelx is a Python package to use Python like a spreadsheet. modelx provides the foundation of lifelib. Find out more about modelx on the following sites.

Home page & Blog

https://modelx.io

Documentation site

https://docs.modelx.io

Development site

fumitoh/modelx

modelx on PyPI

https://pypi.org/project/modelx/