Hi everyone,

I am currently building ACTUNEO, an open-source actuarial Python library focused on African and emerging market actuarial applications.

The goal is to create localized actuarial infrastructure that bridges traditional actuarial science with modern data science tools while addressing African market realities such as multi-currency environments, localized mortality assumptions, pension analytics, and insurance modeling.

ACTUNEO is built in Python and integrates with:

• Pandas
• NumPy
• SciPy
• Plotly
• Scikit-learn

Why this project exists

Many actuarial libraries are built primarily around European or North American assumptions and datasets. African actuaries often adapt foreign assumptions due to limited localized tooling and open actuarial datasets.

ACTUNEO aims to help address this gap through open-source collaboration.

Current Progress

The project is currently building foundational modules including:

• Mortality tables and survival models
• Interest theory and financial mathematics
• Life contingencies
• Pension calculations
• African macroeconomic data integration

Looking for Contributors

I am looking for:

• Actuaries and actuarial students to validate formulas and assumptions
• Python developers to improve architecture and testing
• Data scientists interested in actuarial modeling
• Technical writers to improve documentation and tutorials

Repository:
ACTUNEO GitHub Repository

Several issues will be tagged with:

• good first issue
• help wanted
• documentation