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, reserving, 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.

openactuarial pins exact versions of every package: each release installs the one combination that was tested together as a release train. If you want looser version ranges, install the individual packages instead — they declare compatible ranges (>=X.Y,<X.Y+1) rather than exact pins. 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
reservingmodels	Claims development and stochastic reserving: chain ladder, Bornhuetter-Ferguson, Mack, and the ODP bootstrap of the predictive reserve distribution; builds triangles from a claims-listing `Experience`
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 pinned to exact versions: the single combination of releases tested together as a train. Pre-1.0 minor releases may change APIs, so open ranges would let pip assemble a set that was never tested against itself — a meta-package exists to install a known-good combination, so it pins one, and each openactuarial release bumps these pins to the next tested train. Separately, the nightly ecosystem smoke workflow reruns every package's test suite against the current PyPI releases, so cross-package breakage surfaces as it lands.

Documentation

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

License

MIT — see LICENSE.

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Provenance

The following attestation bundles were made for openactuarial-0.4.0.tar.gz:

Publisher: release.yml on OpenActuarial/openactuarial

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- Permalink: OpenActuarial/openactuarial@54e07c15f50686ca4be10b10b2ef25bf70c74138
- Branch / Tag: refs/tags/v0.4.0
- Owner: https://github.com/OpenActuarial
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