openactuarial 0.2.1

Meta-package installing the full OpenActuarial ecosystem.

openactuarial

One install for the full OpenActuarial ecosystem.

Overview

openactuarial is a meta-package: it contains no code of its own and exists to install the seven OpenActuarial packages in one step. The ecosystem covers general actuarial workflows — experience analysis, projection, rating and pricing, loss modeling, tail estimation, and portfolio simulation — as small packages that share conventions and compose across seams.

Installation

pip install openactuarial

Requires Python 3.10 or newer. Each package can also be installed individually (pip install actuarialpy, and so on).

What gets installed

Package	Role
actuarialpy	Calculation primitives, the canonical Experience data contract, and the ExperienceSet workbook layer (one construction call over source tables)
experiencestudies	Experience reporting, actual-vs-expected, claimant and concentration analysis
projectionmodels	Claim, premium, and expense projection over a renewal horizon
ratingmodels	Manual and experience rating, credibility, indication, GLM relativities
lossmodels	Severity and frequency fitting, aggregate loss distributions; fits directly from a claims-listing Experience
extremeloss	Extreme-value tails: POT/GPD, GEV, return levels, splicing; fits directly from a claims-listing Experience
risksim	Portfolio Monte Carlo, dependence, reinsurance contracts, risk measures

Version policy

Dependencies are declared as open floors, so pip install openactuarial resolves to the latest release of every package. Cross-package compatibility is exercised nightly by the ecosystem smoke workflow, which reruns every package's test suite against current PyPI releases. For reproducible environments, pin the individual packages in your own requirements or constraints file.

Documentation

Full API references and nine end-to-end worked examples: openactuarial.org.

License

MIT — see LICENSE.